roonbug commited on
Commit
5312176
·
verified ·
1 Parent(s): 93cbca7

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +2 -0
  2. README.md +58 -0
  3. checkpoint-2000/chat_template.jinja +4 -0
  4. checkpoint-2000/config.json +77 -0
  5. checkpoint-2000/generation_config.json +9 -0
  6. checkpoint-2000/model-00001-of-00004.safetensors +3 -0
  7. checkpoint-2000/model-00002-of-00004.safetensors +3 -0
  8. checkpoint-2000/model-00003-of-00004.safetensors +3 -0
  9. checkpoint-2000/model-00004-of-00004.safetensors +3 -0
  10. checkpoint-2000/model.safetensors.index.json +472 -0
  11. checkpoint-2000/optimizer.pt +3 -0
  12. checkpoint-2000/rng_state.pth +3 -0
  13. checkpoint-2000/scheduler.pt +3 -0
  14. checkpoint-2000/special_tokens_map.json +34 -0
  15. checkpoint-2000/tokenizer.json +3 -0
  16. checkpoint-2000/tokenizer.model +3 -0
  17. checkpoint-2000/tokenizer_config.json +2013 -0
  18. checkpoint-2000/trainer_state.json +2914 -0
  19. checkpoint-2000/training_args.bin +3 -0
  20. checkpoint-2500/chat_template.jinja +4 -0
  21. checkpoint-2500/config.json +77 -0
  22. checkpoint-2500/generation_config.json +9 -0
  23. checkpoint-2500/model-00001-of-00004.safetensors +3 -0
  24. checkpoint-2500/model-00002-of-00004.safetensors +3 -0
  25. checkpoint-2500/model-00003-of-00004.safetensors +3 -0
  26. checkpoint-2500/model.safetensors.index.json +472 -0
  27. checkpoint-2500/special_tokens_map.json +34 -0
  28. checkpoint-2500/tokenizer_config.json +2013 -0
  29. checkpoint-2500/trainer_state.json +0 -0
  30. checkpoint-3000/chat_template.jinja +4 -0
  31. checkpoint-3000/config.json +77 -0
  32. checkpoint-3000/generation_config.json +9 -0
  33. checkpoint-3000/model-00001-of-00004.safetensors +3 -0
  34. checkpoint-3000/model-00002-of-00004.safetensors +3 -0
  35. checkpoint-3000/model.safetensors.index.json +472 -0
  36. checkpoint-3000/rng_state.pth +3 -0
  37. checkpoint-3000/special_tokens_map.json +34 -0
  38. checkpoint-3000/tokenizer_config.json +2013 -0
  39. checkpoint-3000/trainer_state.json +0 -0
  40. final/chat_template.jinja +4 -0
  41. final/config.json +77 -0
  42. final/generation_config.json +9 -0
  43. final/model-00001-of-00004.safetensors +3 -0
  44. final/model-00002-of-00004.safetensors +3 -0
  45. final/model-00003-of-00004.safetensors +3 -0
  46. final/model-00004-of-00004.safetensors +3 -0
  47. final/model.safetensors.index.json +472 -0
  48. final/special_tokens_map.json +34 -0
  49. final/tokenizer.json +3 -0
  50. final/tokenizer.model +3 -0
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ final/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: google/gemma-2-9b-it
3
+ library_name: transformers
4
+ model_name: recover
5
+ tags:
6
+ - generated_from_trainer
7
+ - sft
8
+ - trl
9
+ licence: license
10
+ ---
11
+
12
+ # Model Card for recover
13
+
14
+ This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it).
15
+ It has been trained using [TRL](https://github.com/huggingface/trl).
16
+
17
+ ## Quick start
18
+
19
+ ```python
20
+ from transformers import pipeline
21
+
22
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
23
+ generator = pipeline("text-generation", model="None", device="cuda")
24
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
25
+ print(output["generated_text"])
26
+ ```
27
+
28
+ ## Training procedure
29
+
30
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/arunasank/sae-scoping-stemqa-chemistry/runs/7bb3kqex)
31
+
32
+
33
+ This model was trained with SFT.
34
+
35
+ ### Framework versions
36
+
37
+ - TRL: 0.22.2
38
+ - Transformers: 4.56.1
39
+ - Pytorch: 2.7.1+cu128
40
+ - Datasets: 4.0.0
41
+ - Tokenizers: 0.22.2
42
+
43
+ ## Citations
44
+
45
+
46
+
47
+ Cite TRL as:
48
+
49
+ ```bibtex
50
+ @misc{vonwerra2022trl,
51
+ title = {{TRL: Transformer Reinforcement Learning}},
52
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
53
+ year = 2020,
54
+ journal = {GitHub repository},
55
+ publisher = {GitHub},
56
+ howpublished = {\url{https://github.com/huggingface/trl}}
57
+ }
58
+ ```
checkpoint-2000/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
checkpoint-2000/config.json ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma2ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_logit_softcapping": 50.0,
8
+ "bos_token_id": 2,
9
+ "cache_implementation": "hybrid",
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 1,
12
+ "final_logit_softcapping": 30.0,
13
+ "head_dim": 256,
14
+ "hidden_act": "gelu_pytorch_tanh",
15
+ "hidden_activation": "gelu_pytorch_tanh",
16
+ "hidden_size": 3584,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 14336,
19
+ "layer_types": [
20
+ "sliding_attention",
21
+ "full_attention",
22
+ "sliding_attention",
23
+ "full_attention",
24
+ "sliding_attention",
25
+ "full_attention",
26
+ "sliding_attention",
27
+ "full_attention",
28
+ "sliding_attention",
29
+ "full_attention",
30
+ "sliding_attention",
31
+ "full_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "full_attention",
36
+ "sliding_attention",
37
+ "full_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "full_attention",
42
+ "sliding_attention",
43
+ "full_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "full_attention",
48
+ "sliding_attention",
49
+ "full_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "full_attention",
54
+ "sliding_attention",
55
+ "full_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "full_attention",
60
+ "sliding_attention",
61
+ "full_attention"
62
+ ],
63
+ "max_position_embeddings": 8192,
64
+ "model_type": "gemma2",
65
+ "num_attention_heads": 16,
66
+ "num_hidden_layers": 42,
67
+ "num_key_value_heads": 8,
68
+ "pad_token_id": 0,
69
+ "query_pre_attn_scalar": 256,
70
+ "rms_norm_eps": 1e-06,
71
+ "rope_theta": 10000.0,
72
+ "sliding_window": 4096,
73
+ "sliding_window_size": 4096,
74
+ "transformers_version": "4.56.1",
75
+ "use_cache": true,
76
+ "vocab_size": 256000
77
+ }
checkpoint-2000/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": [
5
+ 1
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.56.1"
9
+ }
checkpoint-2000/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0d4eb4fcbddfe01b0dc7a58386a3980826ededaf0ecd67d1ef38995b89615ba
3
+ size 4903351912
checkpoint-2000/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:712a589c333f49f7b6f3870838a9e0ab4b3c0260abd5130e8c54316e6c99640b
3
+ size 4947570872
checkpoint-2000/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7674e4fcf33be16246bf213c97ae8a1814d62cc2eaabb9fabc919b878676bf50
3
+ size 4962221464
checkpoint-2000/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a8f22188d233c1cff0c2f273f87f5c89726177b962b66b913fdb8334a951642
3
+ size 3670322200
checkpoint-2000/model.safetensors.index.json ADDED
@@ -0,0 +1,472 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 9241705984,
4
+ "total_size": 18483411968
5
+ },
6
+ "weight_map": {
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.20.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.21.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
273
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.32.input_layernorm.weight": "model-00004-of-00004.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
299
+ "model.layers.32.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
300
+ "model.layers.32.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.33.input_layernorm.weight": "model-00004-of-00004.safetensors",
306
+ "model.layers.33.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
307
+ "model.layers.33.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
308
+ "model.layers.33.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
309
+ "model.layers.33.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
310
+ "model.layers.33.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
311
+ "model.layers.33.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
315
+ "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
316
+ "model.layers.34.input_layernorm.weight": "model-00004-of-00004.safetensors",
317
+ "model.layers.34.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
318
+ "model.layers.34.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
319
+ "model.layers.34.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
320
+ "model.layers.34.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
321
+ "model.layers.34.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
322
+ "model.layers.34.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
326
+ "model.layers.34.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
327
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
328
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
338
+ "model.layers.36.input_layernorm.weight": "model-00004-of-00004.safetensors",
339
+ "model.layers.36.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
340
+ "model.layers.36.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
341
+ "model.layers.36.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
342
+ "model.layers.36.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
343
+ "model.layers.36.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
344
+ "model.layers.36.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
345
+ "model.layers.36.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
346
+ "model.layers.36.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
347
+ "model.layers.36.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
348
+ "model.layers.36.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
349
+ "model.layers.37.input_layernorm.weight": "model-00004-of-00004.safetensors",
350
+ "model.layers.37.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
351
+ "model.layers.37.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
352
+ "model.layers.37.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
353
+ "model.layers.37.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
354
+ "model.layers.37.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
355
+ "model.layers.37.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
356
+ "model.layers.37.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
357
+ "model.layers.37.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
358
+ "model.layers.37.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
359
+ "model.layers.37.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
360
+ "model.layers.38.input_layernorm.weight": "model-00004-of-00004.safetensors",
361
+ "model.layers.38.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
362
+ "model.layers.38.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
363
+ "model.layers.38.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
364
+ "model.layers.38.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
365
+ "model.layers.38.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
366
+ "model.layers.38.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
367
+ "model.layers.38.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
368
+ "model.layers.38.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
369
+ "model.layers.38.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
370
+ "model.layers.38.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
371
+ "model.layers.39.input_layernorm.weight": "model-00004-of-00004.safetensors",
372
+ "model.layers.39.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
373
+ "model.layers.39.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
374
+ "model.layers.39.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
375
+ "model.layers.39.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
376
+ "model.layers.39.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
377
+ "model.layers.39.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
378
+ "model.layers.39.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
379
+ "model.layers.39.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
380
+ "model.layers.39.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
381
+ "model.layers.39.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
382
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.40.input_layernorm.weight": "model-00004-of-00004.safetensors",
394
+ "model.layers.40.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
395
+ "model.layers.40.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
396
+ "model.layers.40.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
397
+ "model.layers.40.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
398
+ "model.layers.40.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
399
+ "model.layers.40.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
400
+ "model.layers.40.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
401
+ "model.layers.40.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
402
+ "model.layers.40.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
403
+ "model.layers.40.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
404
+ "model.layers.41.input_layernorm.weight": "model-00004-of-00004.safetensors",
405
+ "model.layers.41.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
406
+ "model.layers.41.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
407
+ "model.layers.41.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
408
+ "model.layers.41.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
409
+ "model.layers.41.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
410
+ "model.layers.41.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
411
+ "model.layers.41.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
412
+ "model.layers.41.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
413
+ "model.layers.41.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
414
+ "model.layers.41.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
415
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
416
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
417
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
418
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
419
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
420
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
421
+ "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
422
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
423
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
424
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
425
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
426
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
427
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
428
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
429
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
430
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
431
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
432
+ "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
433
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
434
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
435
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
436
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
437
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
438
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
439
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
440
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
441
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
442
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
443
+ "model.layers.7.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
444
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
445
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
446
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
448
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
449
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
450
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
451
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
452
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
453
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
454
+ "model.layers.8.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
455
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
456
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
457
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
458
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
459
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
460
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
461
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
462
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
463
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
464
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
465
+ "model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
466
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
467
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
468
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
469
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
470
+ "model.norm.weight": "model-00004-of-00004.safetensors"
471
+ }
472
+ }
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9eb7015cd946576346013dc0659801d22aed469c803b832f4bea6dea3b021770
3
+ size 1585596266
checkpoint-2000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4132949318e028debc59f4db164bc9a537cbb130ee35d892cb08945d6ab6790a
3
+ size 14645
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c56cc7d2ab3dfe9edf7a28cb038a85004572c59f841d9bdfd8a137d5d874b19
3
+ size 1465
checkpoint-2000/special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
checkpoint-2000/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
3
+ size 34362873
checkpoint-2000/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
3
+ size 4241003
checkpoint-2000/tokenizer_config.json ADDED
@@ -0,0 +1,2013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "4": {
38
+ "content": "<mask>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "5": {
46
+ "content": "<2mass>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "6": {
54
+ "content": "[@BOS@]",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "7": {
62
+ "content": "<unused0>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "8": {
70
+ "content": "<unused1>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "9": {
78
+ "content": "<unused2>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "10": {
86
+ "content": "<unused3>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "11": {
94
+ "content": "<unused4>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "12": {
102
+ "content": "<unused5>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "13": {
110
+ "content": "<unused6>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": false
116
+ },
117
+ "14": {
118
+ "content": "<unused7>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "15": {
126
+ "content": "<unused8>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "16": {
134
+ "content": "<unused9>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "17": {
142
+ "content": "<unused10>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "18": {
150
+ "content": "<unused11>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "19": {
158
+ "content": "<unused12>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "20": {
166
+ "content": "<unused13>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "21": {
174
+ "content": "<unused14>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "22": {
182
+ "content": "<unused15>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "23": {
190
+ "content": "<unused16>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "24": {
198
+ "content": "<unused17>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "25": {
206
+ "content": "<unused18>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "26": {
214
+ "content": "<unused19>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "27": {
222
+ "content": "<unused20>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "28": {
230
+ "content": "<unused21>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "29": {
238
+ "content": "<unused22>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "30": {
246
+ "content": "<unused23>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "31": {
254
+ "content": "<unused24>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "32": {
262
+ "content": "<unused25>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "33": {
270
+ "content": "<unused26>",
271
+ "lstrip": false,
272
+ "normalized": false,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "34": {
278
+ "content": "<unused27>",
279
+ "lstrip": false,
280
+ "normalized": false,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "35": {
286
+ "content": "<unused28>",
287
+ "lstrip": false,
288
+ "normalized": false,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "36": {
294
+ "content": "<unused29>",
295
+ "lstrip": false,
296
+ "normalized": false,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "37": {
302
+ "content": "<unused30>",
303
+ "lstrip": false,
304
+ "normalized": false,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "38": {
310
+ "content": "<unused31>",
311
+ "lstrip": false,
312
+ "normalized": false,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ },
317
+ "39": {
318
+ "content": "<unused32>",
319
+ "lstrip": false,
320
+ "normalized": false,
321
+ "rstrip": false,
322
+ "single_word": false,
323
+ "special": false
324
+ },
325
+ "40": {
326
+ "content": "<unused33>",
327
+ "lstrip": false,
328
+ "normalized": false,
329
+ "rstrip": false,
330
+ "single_word": false,
331
+ "special": false
332
+ },
333
+ "41": {
334
+ "content": "<unused34>",
335
+ "lstrip": false,
336
+ "normalized": false,
337
+ "rstrip": false,
338
+ "single_word": false,
339
+ "special": false
340
+ },
341
+ "42": {
342
+ "content": "<unused35>",
343
+ "lstrip": false,
344
+ "normalized": false,
345
+ "rstrip": false,
346
+ "single_word": false,
347
+ "special": false
348
+ },
349
+ "43": {
350
+ "content": "<unused36>",
351
+ "lstrip": false,
352
+ "normalized": false,
353
+ "rstrip": false,
354
+ "single_word": false,
355
+ "special": false
356
+ },
357
+ "44": {
358
+ "content": "<unused37>",
359
+ "lstrip": false,
360
+ "normalized": false,
361
+ "rstrip": false,
362
+ "single_word": false,
363
+ "special": false
364
+ },
365
+ "45": {
366
+ "content": "<unused38>",
367
+ "lstrip": false,
368
+ "normalized": false,
369
+ "rstrip": false,
370
+ "single_word": false,
371
+ "special": false
372
+ },
373
+ "46": {
374
+ "content": "<unused39>",
375
+ "lstrip": false,
376
+ "normalized": false,
377
+ "rstrip": false,
378
+ "single_word": false,
379
+ "special": false
380
+ },
381
+ "47": {
382
+ "content": "<unused40>",
383
+ "lstrip": false,
384
+ "normalized": false,
385
+ "rstrip": false,
386
+ "single_word": false,
387
+ "special": false
388
+ },
389
+ "48": {
390
+ "content": "<unused41>",
391
+ "lstrip": false,
392
+ "normalized": false,
393
+ "rstrip": false,
394
+ "single_word": false,
395
+ "special": false
396
+ },
397
+ "49": {
398
+ "content": "<unused42>",
399
+ "lstrip": false,
400
+ "normalized": false,
401
+ "rstrip": false,
402
+ "single_word": false,
403
+ "special": false
404
+ },
405
+ "50": {
406
+ "content": "<unused43>",
407
+ "lstrip": false,
408
+ "normalized": false,
409
+ "rstrip": false,
410
+ "single_word": false,
411
+ "special": false
412
+ },
413
+ "51": {
414
+ "content": "<unused44>",
415
+ "lstrip": false,
416
+ "normalized": false,
417
+ "rstrip": false,
418
+ "single_word": false,
419
+ "special": false
420
+ },
421
+ "52": {
422
+ "content": "<unused45>",
423
+ "lstrip": false,
424
+ "normalized": false,
425
+ "rstrip": false,
426
+ "single_word": false,
427
+ "special": false
428
+ },
429
+ "53": {
430
+ "content": "<unused46>",
431
+ "lstrip": false,
432
+ "normalized": false,
433
+ "rstrip": false,
434
+ "single_word": false,
435
+ "special": false
436
+ },
437
+ "54": {
438
+ "content": "<unused47>",
439
+ "lstrip": false,
440
+ "normalized": false,
441
+ "rstrip": false,
442
+ "single_word": false,
443
+ "special": false
444
+ },
445
+ "55": {
446
+ "content": "<unused48>",
447
+ "lstrip": false,
448
+ "normalized": false,
449
+ "rstrip": false,
450
+ "single_word": false,
451
+ "special": false
452
+ },
453
+ "56": {
454
+ "content": "<unused49>",
455
+ "lstrip": false,
456
+ "normalized": false,
457
+ "rstrip": false,
458
+ "single_word": false,
459
+ "special": false
460
+ },
461
+ "57": {
462
+ "content": "<unused50>",
463
+ "lstrip": false,
464
+ "normalized": false,
465
+ "rstrip": false,
466
+ "single_word": false,
467
+ "special": false
468
+ },
469
+ "58": {
470
+ "content": "<unused51>",
471
+ "lstrip": false,
472
+ "normalized": false,
473
+ "rstrip": false,
474
+ "single_word": false,
475
+ "special": false
476
+ },
477
+ "59": {
478
+ "content": "<unused52>",
479
+ "lstrip": false,
480
+ "normalized": false,
481
+ "rstrip": false,
482
+ "single_word": false,
483
+ "special": false
484
+ },
485
+ "60": {
486
+ "content": "<unused53>",
487
+ "lstrip": false,
488
+ "normalized": false,
489
+ "rstrip": false,
490
+ "single_word": false,
491
+ "special": false
492
+ },
493
+ "61": {
494
+ "content": "<unused54>",
495
+ "lstrip": false,
496
+ "normalized": false,
497
+ "rstrip": false,
498
+ "single_word": false,
499
+ "special": false
500
+ },
501
+ "62": {
502
+ "content": "<unused55>",
503
+ "lstrip": false,
504
+ "normalized": false,
505
+ "rstrip": false,
506
+ "single_word": false,
507
+ "special": false
508
+ },
509
+ "63": {
510
+ "content": "<unused56>",
511
+ "lstrip": false,
512
+ "normalized": false,
513
+ "rstrip": false,
514
+ "single_word": false,
515
+ "special": false
516
+ },
517
+ "64": {
518
+ "content": "<unused57>",
519
+ "lstrip": false,
520
+ "normalized": false,
521
+ "rstrip": false,
522
+ "single_word": false,
523
+ "special": false
524
+ },
525
+ "65": {
526
+ "content": "<unused58>",
527
+ "lstrip": false,
528
+ "normalized": false,
529
+ "rstrip": false,
530
+ "single_word": false,
531
+ "special": false
532
+ },
533
+ "66": {
534
+ "content": "<unused59>",
535
+ "lstrip": false,
536
+ "normalized": false,
537
+ "rstrip": false,
538
+ "single_word": false,
539
+ "special": false
540
+ },
541
+ "67": {
542
+ "content": "<unused60>",
543
+ "lstrip": false,
544
+ "normalized": false,
545
+ "rstrip": false,
546
+ "single_word": false,
547
+ "special": false
548
+ },
549
+ "68": {
550
+ "content": "<unused61>",
551
+ "lstrip": false,
552
+ "normalized": false,
553
+ "rstrip": false,
554
+ "single_word": false,
555
+ "special": false
556
+ },
557
+ "69": {
558
+ "content": "<unused62>",
559
+ "lstrip": false,
560
+ "normalized": false,
561
+ "rstrip": false,
562
+ "single_word": false,
563
+ "special": false
564
+ },
565
+ "70": {
566
+ "content": "<unused63>",
567
+ "lstrip": false,
568
+ "normalized": false,
569
+ "rstrip": false,
570
+ "single_word": false,
571
+ "special": false
572
+ },
573
+ "71": {
574
+ "content": "<unused64>",
575
+ "lstrip": false,
576
+ "normalized": false,
577
+ "rstrip": false,
578
+ "single_word": false,
579
+ "special": false
580
+ },
581
+ "72": {
582
+ "content": "<unused65>",
583
+ "lstrip": false,
584
+ "normalized": false,
585
+ "rstrip": false,
586
+ "single_word": false,
587
+ "special": false
588
+ },
589
+ "73": {
590
+ "content": "<unused66>",
591
+ "lstrip": false,
592
+ "normalized": false,
593
+ "rstrip": false,
594
+ "single_word": false,
595
+ "special": false
596
+ },
597
+ "74": {
598
+ "content": "<unused67>",
599
+ "lstrip": false,
600
+ "normalized": false,
601
+ "rstrip": false,
602
+ "single_word": false,
603
+ "special": false
604
+ },
605
+ "75": {
606
+ "content": "<unused68>",
607
+ "lstrip": false,
608
+ "normalized": false,
609
+ "rstrip": false,
610
+ "single_word": false,
611
+ "special": false
612
+ },
613
+ "76": {
614
+ "content": "<unused69>",
615
+ "lstrip": false,
616
+ "normalized": false,
617
+ "rstrip": false,
618
+ "single_word": false,
619
+ "special": false
620
+ },
621
+ "77": {
622
+ "content": "<unused70>",
623
+ "lstrip": false,
624
+ "normalized": false,
625
+ "rstrip": false,
626
+ "single_word": false,
627
+ "special": false
628
+ },
629
+ "78": {
630
+ "content": "<unused71>",
631
+ "lstrip": false,
632
+ "normalized": false,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": false
636
+ },
637
+ "79": {
638
+ "content": "<unused72>",
639
+ "lstrip": false,
640
+ "normalized": false,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": false
644
+ },
645
+ "80": {
646
+ "content": "<unused73>",
647
+ "lstrip": false,
648
+ "normalized": false,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": false
652
+ },
653
+ "81": {
654
+ "content": "<unused74>",
655
+ "lstrip": false,
656
+ "normalized": false,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": false
660
+ },
661
+ "82": {
662
+ "content": "<unused75>",
663
+ "lstrip": false,
664
+ "normalized": false,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": false
668
+ },
669
+ "83": {
670
+ "content": "<unused76>",
671
+ "lstrip": false,
672
+ "normalized": false,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": false
676
+ },
677
+ "84": {
678
+ "content": "<unused77>",
679
+ "lstrip": false,
680
+ "normalized": false,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": false
684
+ },
685
+ "85": {
686
+ "content": "<unused78>",
687
+ "lstrip": false,
688
+ "normalized": false,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": false
692
+ },
693
+ "86": {
694
+ "content": "<unused79>",
695
+ "lstrip": false,
696
+ "normalized": false,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": false
700
+ },
701
+ "87": {
702
+ "content": "<unused80>",
703
+ "lstrip": false,
704
+ "normalized": false,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": false
708
+ },
709
+ "88": {
710
+ "content": "<unused81>",
711
+ "lstrip": false,
712
+ "normalized": false,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": false
716
+ },
717
+ "89": {
718
+ "content": "<unused82>",
719
+ "lstrip": false,
720
+ "normalized": false,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": false
724
+ },
725
+ "90": {
726
+ "content": "<unused83>",
727
+ "lstrip": false,
728
+ "normalized": false,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": false
732
+ },
733
+ "91": {
734
+ "content": "<unused84>",
735
+ "lstrip": false,
736
+ "normalized": false,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": false
740
+ },
741
+ "92": {
742
+ "content": "<unused85>",
743
+ "lstrip": false,
744
+ "normalized": false,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": false
748
+ },
749
+ "93": {
750
+ "content": "<unused86>",
751
+ "lstrip": false,
752
+ "normalized": false,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": false
756
+ },
757
+ "94": {
758
+ "content": "<unused87>",
759
+ "lstrip": false,
760
+ "normalized": false,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": false
764
+ },
765
+ "95": {
766
+ "content": "<unused88>",
767
+ "lstrip": false,
768
+ "normalized": false,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": false
772
+ },
773
+ "96": {
774
+ "content": "<unused89>",
775
+ "lstrip": false,
776
+ "normalized": false,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": false
780
+ },
781
+ "97": {
782
+ "content": "<unused90>",
783
+ "lstrip": false,
784
+ "normalized": false,
785
+ "rstrip": false,
786
+ "single_word": false,
787
+ "special": false
788
+ },
789
+ "98": {
790
+ "content": "<unused91>",
791
+ "lstrip": false,
792
+ "normalized": false,
793
+ "rstrip": false,
794
+ "single_word": false,
795
+ "special": false
796
+ },
797
+ "99": {
798
+ "content": "<unused92>",
799
+ "lstrip": false,
800
+ "normalized": false,
801
+ "rstrip": false,
802
+ "single_word": false,
803
+ "special": false
804
+ },
805
+ "100": {
806
+ "content": "<unused93>",
807
+ "lstrip": false,
808
+ "normalized": false,
809
+ "rstrip": false,
810
+ "single_word": false,
811
+ "special": false
812
+ },
813
+ "101": {
814
+ "content": "<unused94>",
815
+ "lstrip": false,
816
+ "normalized": false,
817
+ "rstrip": false,
818
+ "single_word": false,
819
+ "special": false
820
+ },
821
+ "102": {
822
+ "content": "<unused95>",
823
+ "lstrip": false,
824
+ "normalized": false,
825
+ "rstrip": false,
826
+ "single_word": false,
827
+ "special": false
828
+ },
829
+ "103": {
830
+ "content": "<unused96>",
831
+ "lstrip": false,
832
+ "normalized": false,
833
+ "rstrip": false,
834
+ "single_word": false,
835
+ "special": false
836
+ },
837
+ "104": {
838
+ "content": "<unused97>",
839
+ "lstrip": false,
840
+ "normalized": false,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
844
+ },
845
+ "105": {
846
+ "content": "<unused98>",
847
+ "lstrip": false,
848
+ "normalized": false,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ },
853
+ "106": {
854
+ "content": "<start_of_turn>",
855
+ "lstrip": false,
856
+ "normalized": false,
857
+ "rstrip": false,
858
+ "single_word": false,
859
+ "special": true
860
+ },
861
+ "107": {
862
+ "content": "<end_of_turn>",
863
+ "lstrip": false,
864
+ "normalized": false,
865
+ "rstrip": false,
866
+ "single_word": false,
867
+ "special": true
868
+ },
869
+ "108": {
870
+ "content": "\n",
871
+ "lstrip": false,
872
+ "normalized": false,
873
+ "rstrip": false,
874
+ "single_word": false,
875
+ "special": false
876
+ },
877
+ "109": {
878
+ "content": "\n\n",
879
+ "lstrip": false,
880
+ "normalized": false,
881
+ "rstrip": false,
882
+ "single_word": false,
883
+ "special": false
884
+ },
885
+ "110": {
886
+ "content": "\n\n\n",
887
+ "lstrip": false,
888
+ "normalized": false,
889
+ "rstrip": false,
890
+ "single_word": false,
891
+ "special": false
892
+ },
893
+ "111": {
894
+ "content": "\n\n\n\n",
895
+ "lstrip": false,
896
+ "normalized": false,
897
+ "rstrip": false,
898
+ "single_word": false,
899
+ "special": false
900
+ },
901
+ "112": {
902
+ "content": "\n\n\n\n\n",
903
+ "lstrip": false,
904
+ "normalized": false,
905
+ "rstrip": false,
906
+ "single_word": false,
907
+ "special": false
908
+ },
909
+ "113": {
910
+ "content": "\n\n\n\n\n\n",
911
+ "lstrip": false,
912
+ "normalized": false,
913
+ "rstrip": false,
914
+ "single_word": false,
915
+ "special": false
916
+ },
917
+ "114": {
918
+ "content": "\n\n\n\n\n\n\n",
919
+ "lstrip": false,
920
+ "normalized": false,
921
+ "rstrip": false,
922
+ "single_word": false,
923
+ "special": false
924
+ },
925
+ "115": {
926
+ "content": "\n\n\n\n\n\n\n\n",
927
+ "lstrip": false,
928
+ "normalized": false,
929
+ "rstrip": false,
930
+ "single_word": false,
931
+ "special": false
932
+ },
933
+ "116": {
934
+ "content": "\n\n\n\n\n\n\n\n\n",
935
+ "lstrip": false,
936
+ "normalized": false,
937
+ "rstrip": false,
938
+ "single_word": false,
939
+ "special": false
940
+ },
941
+ "117": {
942
+ "content": "\n\n\n\n\n\n\n\n\n\n",
943
+ "lstrip": false,
944
+ "normalized": false,
945
+ "rstrip": false,
946
+ "single_word": false,
947
+ "special": false
948
+ },
949
+ "118": {
950
+ "content": "\n\n\n\n\n\n\n\n\n\n\n",
951
+ "lstrip": false,
952
+ "normalized": false,
953
+ "rstrip": false,
954
+ "single_word": false,
955
+ "special": false
956
+ },
957
+ "119": {
958
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
959
+ "lstrip": false,
960
+ "normalized": false,
961
+ "rstrip": false,
962
+ "single_word": false,
963
+ "special": false
964
+ },
965
+ "120": {
966
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
967
+ "lstrip": false,
968
+ "normalized": false,
969
+ "rstrip": false,
970
+ "single_word": false,
971
+ "special": false
972
+ },
973
+ "121": {
974
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
975
+ "lstrip": false,
976
+ "normalized": false,
977
+ "rstrip": false,
978
+ "single_word": false,
979
+ "special": false
980
+ },
981
+ "122": {
982
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
983
+ "lstrip": false,
984
+ "normalized": false,
985
+ "rstrip": false,
986
+ "single_word": false,
987
+ "special": false
988
+ },
989
+ "123": {
990
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
991
+ "lstrip": false,
992
+ "normalized": false,
993
+ "rstrip": false,
994
+ "single_word": false,
995
+ "special": false
996
+ },
997
+ "124": {
998
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
999
+ "lstrip": false,
1000
+ "normalized": false,
1001
+ "rstrip": false,
1002
+ "single_word": false,
1003
+ "special": false
1004
+ },
1005
+ "125": {
1006
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1007
+ "lstrip": false,
1008
+ "normalized": false,
1009
+ "rstrip": false,
1010
+ "single_word": false,
1011
+ "special": false
1012
+ },
1013
+ "126": {
1014
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1015
+ "lstrip": false,
1016
+ "normalized": false,
1017
+ "rstrip": false,
1018
+ "single_word": false,
1019
+ "special": false
1020
+ },
1021
+ "127": {
1022
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1023
+ "lstrip": false,
1024
+ "normalized": false,
1025
+ "rstrip": false,
1026
+ "single_word": false,
1027
+ "special": false
1028
+ },
1029
+ "128": {
1030
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1031
+ "lstrip": false,
1032
+ "normalized": false,
1033
+ "rstrip": false,
1034
+ "single_word": false,
1035
+ "special": false
1036
+ },
1037
+ "129": {
1038
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1039
+ "lstrip": false,
1040
+ "normalized": false,
1041
+ "rstrip": false,
1042
+ "single_word": false,
1043
+ "special": false
1044
+ },
1045
+ "130": {
1046
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1047
+ "lstrip": false,
1048
+ "normalized": false,
1049
+ "rstrip": false,
1050
+ "single_word": false,
1051
+ "special": false
1052
+ },
1053
+ "131": {
1054
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1055
+ "lstrip": false,
1056
+ "normalized": false,
1057
+ "rstrip": false,
1058
+ "single_word": false,
1059
+ "special": false
1060
+ },
1061
+ "132": {
1062
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1063
+ "lstrip": false,
1064
+ "normalized": false,
1065
+ "rstrip": false,
1066
+ "single_word": false,
1067
+ "special": false
1068
+ },
1069
+ "133": {
1070
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1071
+ "lstrip": false,
1072
+ "normalized": false,
1073
+ "rstrip": false,
1074
+ "single_word": false,
1075
+ "special": false
1076
+ },
1077
+ "134": {
1078
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1079
+ "lstrip": false,
1080
+ "normalized": false,
1081
+ "rstrip": false,
1082
+ "single_word": false,
1083
+ "special": false
1084
+ },
1085
+ "135": {
1086
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1087
+ "lstrip": false,
1088
+ "normalized": false,
1089
+ "rstrip": false,
1090
+ "single_word": false,
1091
+ "special": false
1092
+ },
1093
+ "136": {
1094
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1095
+ "lstrip": false,
1096
+ "normalized": false,
1097
+ "rstrip": false,
1098
+ "single_word": false,
1099
+ "special": false
1100
+ },
1101
+ "137": {
1102
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1103
+ "lstrip": false,
1104
+ "normalized": false,
1105
+ "rstrip": false,
1106
+ "single_word": false,
1107
+ "special": false
1108
+ },
1109
+ "138": {
1110
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1111
+ "lstrip": false,
1112
+ "normalized": false,
1113
+ "rstrip": false,
1114
+ "single_word": false,
1115
+ "special": false
1116
+ },
1117
+ "139": {
1118
+ "content": "▁▁",
1119
+ "lstrip": false,
1120
+ "normalized": false,
1121
+ "rstrip": false,
1122
+ "single_word": false,
1123
+ "special": false
1124
+ },
1125
+ "140": {
1126
+ "content": "▁▁▁",
1127
+ "lstrip": false,
1128
+ "normalized": false,
1129
+ "rstrip": false,
1130
+ "single_word": false,
1131
+ "special": false
1132
+ },
1133
+ "141": {
1134
+ "content": "▁▁▁▁",
1135
+ "lstrip": false,
1136
+ "normalized": false,
1137
+ "rstrip": false,
1138
+ "single_word": false,
1139
+ "special": false
1140
+ },
1141
+ "142": {
1142
+ "content": "▁▁▁▁▁",
1143
+ "lstrip": false,
1144
+ "normalized": false,
1145
+ "rstrip": false,
1146
+ "single_word": false,
1147
+ "special": false
1148
+ },
1149
+ "143": {
1150
+ "content": "▁▁▁▁▁▁",
1151
+ "lstrip": false,
1152
+ "normalized": false,
1153
+ "rstrip": false,
1154
+ "single_word": false,
1155
+ "special": false
1156
+ },
1157
+ "144": {
1158
+ "content": "▁▁▁▁▁▁▁",
1159
+ "lstrip": false,
1160
+ "normalized": false,
1161
+ "rstrip": false,
1162
+ "single_word": false,
1163
+ "special": false
1164
+ },
1165
+ "145": {
1166
+ "content": "▁▁▁▁▁▁▁▁",
1167
+ "lstrip": false,
1168
+ "normalized": false,
1169
+ "rstrip": false,
1170
+ "single_word": false,
1171
+ "special": false
1172
+ },
1173
+ "146": {
1174
+ "content": "▁▁▁▁▁▁▁▁▁",
1175
+ "lstrip": false,
1176
+ "normalized": false,
1177
+ "rstrip": false,
1178
+ "single_word": false,
1179
+ "special": false
1180
+ },
1181
+ "147": {
1182
+ "content": "▁▁▁▁▁▁▁▁▁▁",
1183
+ "lstrip": false,
1184
+ "normalized": false,
1185
+ "rstrip": false,
1186
+ "single_word": false,
1187
+ "special": false
1188
+ },
1189
+ "148": {
1190
+ "content": "▁▁▁▁▁▁▁▁▁▁▁",
1191
+ "lstrip": false,
1192
+ "normalized": false,
1193
+ "rstrip": false,
1194
+ "single_word": false,
1195
+ "special": false
1196
+ },
1197
+ "149": {
1198
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
1199
+ "lstrip": false,
1200
+ "normalized": false,
1201
+ "rstrip": false,
1202
+ "single_word": false,
1203
+ "special": false
1204
+ },
1205
+ "150": {
1206
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
1207
+ "lstrip": false,
1208
+ "normalized": false,
1209
+ "rstrip": false,
1210
+ "single_word": false,
1211
+ "special": false
1212
+ },
1213
+ "151": {
1214
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1215
+ "lstrip": false,
1216
+ "normalized": false,
1217
+ "rstrip": false,
1218
+ "single_word": false,
1219
+ "special": false
1220
+ },
1221
+ "152": {
1222
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1223
+ "lstrip": false,
1224
+ "normalized": false,
1225
+ "rstrip": false,
1226
+ "single_word": false,
1227
+ "special": false
1228
+ },
1229
+ "153": {
1230
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1231
+ "lstrip": false,
1232
+ "normalized": false,
1233
+ "rstrip": false,
1234
+ "single_word": false,
1235
+ "special": false
1236
+ },
1237
+ "154": {
1238
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1239
+ "lstrip": false,
1240
+ "normalized": false,
1241
+ "rstrip": false,
1242
+ "single_word": false,
1243
+ "special": false
1244
+ },
1245
+ "155": {
1246
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1247
+ "lstrip": false,
1248
+ "normalized": false,
1249
+ "rstrip": false,
1250
+ "single_word": false,
1251
+ "special": false
1252
+ },
1253
+ "156": {
1254
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1255
+ "lstrip": false,
1256
+ "normalized": false,
1257
+ "rstrip": false,
1258
+ "single_word": false,
1259
+ "special": false
1260
+ },
1261
+ "157": {
1262
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1263
+ "lstrip": false,
1264
+ "normalized": false,
1265
+ "rstrip": false,
1266
+ "single_word": false,
1267
+ "special": false
1268
+ },
1269
+ "158": {
1270
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1271
+ "lstrip": false,
1272
+ "normalized": false,
1273
+ "rstrip": false,
1274
+ "single_word": false,
1275
+ "special": false
1276
+ },
1277
+ "159": {
1278
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1279
+ "lstrip": false,
1280
+ "normalized": false,
1281
+ "rstrip": false,
1282
+ "single_word": false,
1283
+ "special": false
1284
+ },
1285
+ "160": {
1286
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1287
+ "lstrip": false,
1288
+ "normalized": false,
1289
+ "rstrip": false,
1290
+ "single_word": false,
1291
+ "special": false
1292
+ },
1293
+ "161": {
1294
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1295
+ "lstrip": false,
1296
+ "normalized": false,
1297
+ "rstrip": false,
1298
+ "single_word": false,
1299
+ "special": false
1300
+ },
1301
+ "162": {
1302
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1303
+ "lstrip": false,
1304
+ "normalized": false,
1305
+ "rstrip": false,
1306
+ "single_word": false,
1307
+ "special": false
1308
+ },
1309
+ "163": {
1310
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1311
+ "lstrip": false,
1312
+ "normalized": false,
1313
+ "rstrip": false,
1314
+ "single_word": false,
1315
+ "special": false
1316
+ },
1317
+ "164": {
1318
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1319
+ "lstrip": false,
1320
+ "normalized": false,
1321
+ "rstrip": false,
1322
+ "single_word": false,
1323
+ "special": false
1324
+ },
1325
+ "165": {
1326
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1327
+ "lstrip": false,
1328
+ "normalized": false,
1329
+ "rstrip": false,
1330
+ "single_word": false,
1331
+ "special": false
1332
+ },
1333
+ "166": {
1334
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1335
+ "lstrip": false,
1336
+ "normalized": false,
1337
+ "rstrip": false,
1338
+ "single_word": false,
1339
+ "special": false
1340
+ },
1341
+ "167": {
1342
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1343
+ "lstrip": false,
1344
+ "normalized": false,
1345
+ "rstrip": false,
1346
+ "single_word": false,
1347
+ "special": false
1348
+ },
1349
+ "168": {
1350
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1351
+ "lstrip": false,
1352
+ "normalized": false,
1353
+ "rstrip": false,
1354
+ "single_word": false,
1355
+ "special": false
1356
+ },
1357
+ "169": {
1358
+ "content": "<table>",
1359
+ "lstrip": false,
1360
+ "normalized": false,
1361
+ "rstrip": false,
1362
+ "single_word": false,
1363
+ "special": false
1364
+ },
1365
+ "170": {
1366
+ "content": "<caption>",
1367
+ "lstrip": false,
1368
+ "normalized": false,
1369
+ "rstrip": false,
1370
+ "single_word": false,
1371
+ "special": false
1372
+ },
1373
+ "171": {
1374
+ "content": "<thead>",
1375
+ "lstrip": false,
1376
+ "normalized": false,
1377
+ "rstrip": false,
1378
+ "single_word": false,
1379
+ "special": false
1380
+ },
1381
+ "172": {
1382
+ "content": "<tbody>",
1383
+ "lstrip": false,
1384
+ "normalized": false,
1385
+ "rstrip": false,
1386
+ "single_word": false,
1387
+ "special": false
1388
+ },
1389
+ "173": {
1390
+ "content": "<tfoot>",
1391
+ "lstrip": false,
1392
+ "normalized": false,
1393
+ "rstrip": false,
1394
+ "single_word": false,
1395
+ "special": false
1396
+ },
1397
+ "174": {
1398
+ "content": "<tr>",
1399
+ "lstrip": false,
1400
+ "normalized": false,
1401
+ "rstrip": false,
1402
+ "single_word": false,
1403
+ "special": false
1404
+ },
1405
+ "175": {
1406
+ "content": "<th>",
1407
+ "lstrip": false,
1408
+ "normalized": false,
1409
+ "rstrip": false,
1410
+ "single_word": false,
1411
+ "special": false
1412
+ },
1413
+ "176": {
1414
+ "content": "<td>",
1415
+ "lstrip": false,
1416
+ "normalized": false,
1417
+ "rstrip": false,
1418
+ "single_word": false,
1419
+ "special": false
1420
+ },
1421
+ "177": {
1422
+ "content": "</table>",
1423
+ "lstrip": false,
1424
+ "normalized": false,
1425
+ "rstrip": false,
1426
+ "single_word": false,
1427
+ "special": false
1428
+ },
1429
+ "178": {
1430
+ "content": "</caption>",
1431
+ "lstrip": false,
1432
+ "normalized": false,
1433
+ "rstrip": false,
1434
+ "single_word": false,
1435
+ "special": false
1436
+ },
1437
+ "179": {
1438
+ "content": "</thead>",
1439
+ "lstrip": false,
1440
+ "normalized": false,
1441
+ "rstrip": false,
1442
+ "single_word": false,
1443
+ "special": false
1444
+ },
1445
+ "180": {
1446
+ "content": "</tbody>",
1447
+ "lstrip": false,
1448
+ "normalized": false,
1449
+ "rstrip": false,
1450
+ "single_word": false,
1451
+ "special": false
1452
+ },
1453
+ "181": {
1454
+ "content": "</tfoot>",
1455
+ "lstrip": false,
1456
+ "normalized": false,
1457
+ "rstrip": false,
1458
+ "single_word": false,
1459
+ "special": false
1460
+ },
1461
+ "182": {
1462
+ "content": "</tr>",
1463
+ "lstrip": false,
1464
+ "normalized": false,
1465
+ "rstrip": false,
1466
+ "single_word": false,
1467
+ "special": false
1468
+ },
1469
+ "183": {
1470
+ "content": "</th>",
1471
+ "lstrip": false,
1472
+ "normalized": false,
1473
+ "rstrip": false,
1474
+ "single_word": false,
1475
+ "special": false
1476
+ },
1477
+ "184": {
1478
+ "content": "</td>",
1479
+ "lstrip": false,
1480
+ "normalized": false,
1481
+ "rstrip": false,
1482
+ "single_word": false,
1483
+ "special": false
1484
+ },
1485
+ "185": {
1486
+ "content": "<h1>",
1487
+ "lstrip": false,
1488
+ "normalized": false,
1489
+ "rstrip": false,
1490
+ "single_word": false,
1491
+ "special": false
1492
+ },
1493
+ "186": {
1494
+ "content": "<h2>",
1495
+ "lstrip": false,
1496
+ "normalized": false,
1497
+ "rstrip": false,
1498
+ "single_word": false,
1499
+ "special": false
1500
+ },
1501
+ "187": {
1502
+ "content": "<h3>",
1503
+ "lstrip": false,
1504
+ "normalized": false,
1505
+ "rstrip": false,
1506
+ "single_word": false,
1507
+ "special": false
1508
+ },
1509
+ "188": {
1510
+ "content": "<h4>",
1511
+ "lstrip": false,
1512
+ "normalized": false,
1513
+ "rstrip": false,
1514
+ "single_word": false,
1515
+ "special": false
1516
+ },
1517
+ "189": {
1518
+ "content": "<h5>",
1519
+ "lstrip": false,
1520
+ "normalized": false,
1521
+ "rstrip": false,
1522
+ "single_word": false,
1523
+ "special": false
1524
+ },
1525
+ "190": {
1526
+ "content": "<h6>",
1527
+ "lstrip": false,
1528
+ "normalized": false,
1529
+ "rstrip": false,
1530
+ "single_word": false,
1531
+ "special": false
1532
+ },
1533
+ "191": {
1534
+ "content": "<blockquote>",
1535
+ "lstrip": false,
1536
+ "normalized": false,
1537
+ "rstrip": false,
1538
+ "single_word": false,
1539
+ "special": false
1540
+ },
1541
+ "192": {
1542
+ "content": "</h1>",
1543
+ "lstrip": false,
1544
+ "normalized": false,
1545
+ "rstrip": false,
1546
+ "single_word": false,
1547
+ "special": false
1548
+ },
1549
+ "193": {
1550
+ "content": "</h2>",
1551
+ "lstrip": false,
1552
+ "normalized": false,
1553
+ "rstrip": false,
1554
+ "single_word": false,
1555
+ "special": false
1556
+ },
1557
+ "194": {
1558
+ "content": "</h3>",
1559
+ "lstrip": false,
1560
+ "normalized": false,
1561
+ "rstrip": false,
1562
+ "single_word": false,
1563
+ "special": false
1564
+ },
1565
+ "195": {
1566
+ "content": "</h4>",
1567
+ "lstrip": false,
1568
+ "normalized": false,
1569
+ "rstrip": false,
1570
+ "single_word": false,
1571
+ "special": false
1572
+ },
1573
+ "196": {
1574
+ "content": "</h5>",
1575
+ "lstrip": false,
1576
+ "normalized": false,
1577
+ "rstrip": false,
1578
+ "single_word": false,
1579
+ "special": false
1580
+ },
1581
+ "197": {
1582
+ "content": "</h6>",
1583
+ "lstrip": false,
1584
+ "normalized": false,
1585
+ "rstrip": false,
1586
+ "single_word": false,
1587
+ "special": false
1588
+ },
1589
+ "198": {
1590
+ "content": "</blockquote>",
1591
+ "lstrip": false,
1592
+ "normalized": false,
1593
+ "rstrip": false,
1594
+ "single_word": false,
1595
+ "special": false
1596
+ },
1597
+ "199": {
1598
+ "content": "<strong>",
1599
+ "lstrip": false,
1600
+ "normalized": false,
1601
+ "rstrip": false,
1602
+ "single_word": false,
1603
+ "special": false
1604
+ },
1605
+ "200": {
1606
+ "content": "<em>",
1607
+ "lstrip": false,
1608
+ "normalized": false,
1609
+ "rstrip": false,
1610
+ "single_word": false,
1611
+ "special": false
1612
+ },
1613
+ "201": {
1614
+ "content": "<b>",
1615
+ "lstrip": false,
1616
+ "normalized": false,
1617
+ "rstrip": false,
1618
+ "single_word": false,
1619
+ "special": false
1620
+ },
1621
+ "202": {
1622
+ "content": "<i>",
1623
+ "lstrip": false,
1624
+ "normalized": false,
1625
+ "rstrip": false,
1626
+ "single_word": false,
1627
+ "special": false
1628
+ },
1629
+ "203": {
1630
+ "content": "<u>",
1631
+ "lstrip": false,
1632
+ "normalized": false,
1633
+ "rstrip": false,
1634
+ "single_word": false,
1635
+ "special": false
1636
+ },
1637
+ "204": {
1638
+ "content": "<s>",
1639
+ "lstrip": false,
1640
+ "normalized": false,
1641
+ "rstrip": false,
1642
+ "single_word": false,
1643
+ "special": false
1644
+ },
1645
+ "205": {
1646
+ "content": "<sub>",
1647
+ "lstrip": false,
1648
+ "normalized": false,
1649
+ "rstrip": false,
1650
+ "single_word": false,
1651
+ "special": false
1652
+ },
1653
+ "206": {
1654
+ "content": "<sup>",
1655
+ "lstrip": false,
1656
+ "normalized": false,
1657
+ "rstrip": false,
1658
+ "single_word": false,
1659
+ "special": false
1660
+ },
1661
+ "207": {
1662
+ "content": "<code>",
1663
+ "lstrip": false,
1664
+ "normalized": false,
1665
+ "rstrip": false,
1666
+ "single_word": false,
1667
+ "special": false
1668
+ },
1669
+ "208": {
1670
+ "content": "</strong>",
1671
+ "lstrip": false,
1672
+ "normalized": false,
1673
+ "rstrip": false,
1674
+ "single_word": false,
1675
+ "special": false
1676
+ },
1677
+ "209": {
1678
+ "content": "</em>",
1679
+ "lstrip": false,
1680
+ "normalized": false,
1681
+ "rstrip": false,
1682
+ "single_word": false,
1683
+ "special": false
1684
+ },
1685
+ "210": {
1686
+ "content": "</b>",
1687
+ "lstrip": false,
1688
+ "normalized": false,
1689
+ "rstrip": false,
1690
+ "single_word": false,
1691
+ "special": false
1692
+ },
1693
+ "211": {
1694
+ "content": "</i>",
1695
+ "lstrip": false,
1696
+ "normalized": false,
1697
+ "rstrip": false,
1698
+ "single_word": false,
1699
+ "special": false
1700
+ },
1701
+ "212": {
1702
+ "content": "</u>",
1703
+ "lstrip": false,
1704
+ "normalized": false,
1705
+ "rstrip": false,
1706
+ "single_word": false,
1707
+ "special": false
1708
+ },
1709
+ "213": {
1710
+ "content": "</s>",
1711
+ "lstrip": false,
1712
+ "normalized": false,
1713
+ "rstrip": false,
1714
+ "single_word": false,
1715
+ "special": false
1716
+ },
1717
+ "214": {
1718
+ "content": "</sub>",
1719
+ "lstrip": false,
1720
+ "normalized": false,
1721
+ "rstrip": false,
1722
+ "single_word": false,
1723
+ "special": false
1724
+ },
1725
+ "215": {
1726
+ "content": "</sup>",
1727
+ "lstrip": false,
1728
+ "normalized": false,
1729
+ "rstrip": false,
1730
+ "single_word": false,
1731
+ "special": false
1732
+ },
1733
+ "216": {
1734
+ "content": "</code>",
1735
+ "lstrip": false,
1736
+ "normalized": false,
1737
+ "rstrip": false,
1738
+ "single_word": false,
1739
+ "special": false
1740
+ },
1741
+ "255968": {
1742
+ "content": "[toxicity=0]",
1743
+ "lstrip": false,
1744
+ "normalized": false,
1745
+ "rstrip": false,
1746
+ "single_word": false,
1747
+ "special": false
1748
+ },
1749
+ "255969": {
1750
+ "content": "\t\t",
1751
+ "lstrip": false,
1752
+ "normalized": false,
1753
+ "rstrip": false,
1754
+ "single_word": false,
1755
+ "special": false
1756
+ },
1757
+ "255970": {
1758
+ "content": "\t\t\t",
1759
+ "lstrip": false,
1760
+ "normalized": false,
1761
+ "rstrip": false,
1762
+ "single_word": false,
1763
+ "special": false
1764
+ },
1765
+ "255971": {
1766
+ "content": "\t\t\t\t",
1767
+ "lstrip": false,
1768
+ "normalized": false,
1769
+ "rstrip": false,
1770
+ "single_word": false,
1771
+ "special": false
1772
+ },
1773
+ "255972": {
1774
+ "content": "\t\t\t\t\t",
1775
+ "lstrip": false,
1776
+ "normalized": false,
1777
+ "rstrip": false,
1778
+ "single_word": false,
1779
+ "special": false
1780
+ },
1781
+ "255973": {
1782
+ "content": "\t\t\t\t\t\t",
1783
+ "lstrip": false,
1784
+ "normalized": false,
1785
+ "rstrip": false,
1786
+ "single_word": false,
1787
+ "special": false
1788
+ },
1789
+ "255974": {
1790
+ "content": "\t\t\t\t\t\t\t",
1791
+ "lstrip": false,
1792
+ "normalized": false,
1793
+ "rstrip": false,
1794
+ "single_word": false,
1795
+ "special": false
1796
+ },
1797
+ "255975": {
1798
+ "content": "\t\t\t\t\t\t\t\t",
1799
+ "lstrip": false,
1800
+ "normalized": false,
1801
+ "rstrip": false,
1802
+ "single_word": false,
1803
+ "special": false
1804
+ },
1805
+ "255976": {
1806
+ "content": "\t\t\t\t\t\t\t\t\t",
1807
+ "lstrip": false,
1808
+ "normalized": false,
1809
+ "rstrip": false,
1810
+ "single_word": false,
1811
+ "special": false
1812
+ },
1813
+ "255977": {
1814
+ "content": "\t\t\t\t\t\t\t\t\t\t",
1815
+ "lstrip": false,
1816
+ "normalized": false,
1817
+ "rstrip": false,
1818
+ "single_word": false,
1819
+ "special": false
1820
+ },
1821
+ "255978": {
1822
+ "content": "\t\t\t\t\t\t\t\t\t\t\t",
1823
+ "lstrip": false,
1824
+ "normalized": false,
1825
+ "rstrip": false,
1826
+ "single_word": false,
1827
+ "special": false
1828
+ },
1829
+ "255979": {
1830
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t",
1831
+ "lstrip": false,
1832
+ "normalized": false,
1833
+ "rstrip": false,
1834
+ "single_word": false,
1835
+ "special": false
1836
+ },
1837
+ "255980": {
1838
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
1839
+ "lstrip": false,
1840
+ "normalized": false,
1841
+ "rstrip": false,
1842
+ "single_word": false,
1843
+ "special": false
1844
+ },
1845
+ "255981": {
1846
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1847
+ "lstrip": false,
1848
+ "normalized": false,
1849
+ "rstrip": false,
1850
+ "single_word": false,
1851
+ "special": false
1852
+ },
1853
+ "255982": {
1854
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1855
+ "lstrip": false,
1856
+ "normalized": false,
1857
+ "rstrip": false,
1858
+ "single_word": false,
1859
+ "special": false
1860
+ },
1861
+ "255983": {
1862
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1863
+ "lstrip": false,
1864
+ "normalized": false,
1865
+ "rstrip": false,
1866
+ "single_word": false,
1867
+ "special": false
1868
+ },
1869
+ "255984": {
1870
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1871
+ "lstrip": false,
1872
+ "normalized": false,
1873
+ "rstrip": false,
1874
+ "single_word": false,
1875
+ "special": false
1876
+ },
1877
+ "255985": {
1878
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1879
+ "lstrip": false,
1880
+ "normalized": false,
1881
+ "rstrip": false,
1882
+ "single_word": false,
1883
+ "special": false
1884
+ },
1885
+ "255986": {
1886
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1887
+ "lstrip": false,
1888
+ "normalized": false,
1889
+ "rstrip": false,
1890
+ "single_word": false,
1891
+ "special": false
1892
+ },
1893
+ "255987": {
1894
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1895
+ "lstrip": false,
1896
+ "normalized": false,
1897
+ "rstrip": false,
1898
+ "single_word": false,
1899
+ "special": false
1900
+ },
1901
+ "255988": {
1902
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1903
+ "lstrip": false,
1904
+ "normalized": false,
1905
+ "rstrip": false,
1906
+ "single_word": false,
1907
+ "special": false
1908
+ },
1909
+ "255989": {
1910
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1911
+ "lstrip": false,
1912
+ "normalized": false,
1913
+ "rstrip": false,
1914
+ "single_word": false,
1915
+ "special": false
1916
+ },
1917
+ "255990": {
1918
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1919
+ "lstrip": false,
1920
+ "normalized": false,
1921
+ "rstrip": false,
1922
+ "single_word": false,
1923
+ "special": false
1924
+ },
1925
+ "255991": {
1926
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1927
+ "lstrip": false,
1928
+ "normalized": false,
1929
+ "rstrip": false,
1930
+ "single_word": false,
1931
+ "special": false
1932
+ },
1933
+ "255992": {
1934
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1935
+ "lstrip": false,
1936
+ "normalized": false,
1937
+ "rstrip": false,
1938
+ "single_word": false,
1939
+ "special": false
1940
+ },
1941
+ "255993": {
1942
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1943
+ "lstrip": false,
1944
+ "normalized": false,
1945
+ "rstrip": false,
1946
+ "single_word": false,
1947
+ "special": false
1948
+ },
1949
+ "255994": {
1950
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1951
+ "lstrip": false,
1952
+ "normalized": false,
1953
+ "rstrip": false,
1954
+ "single_word": false,
1955
+ "special": false
1956
+ },
1957
+ "255995": {
1958
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1959
+ "lstrip": false,
1960
+ "normalized": false,
1961
+ "rstrip": false,
1962
+ "single_word": false,
1963
+ "special": false
1964
+ },
1965
+ "255996": {
1966
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1967
+ "lstrip": false,
1968
+ "normalized": false,
1969
+ "rstrip": false,
1970
+ "single_word": false,
1971
+ "special": false
1972
+ },
1973
+ "255997": {
1974
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1975
+ "lstrip": false,
1976
+ "normalized": false,
1977
+ "rstrip": false,
1978
+ "single_word": false,
1979
+ "special": false
1980
+ },
1981
+ "255998": {
1982
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1983
+ "lstrip": false,
1984
+ "normalized": false,
1985
+ "rstrip": false,
1986
+ "single_word": false,
1987
+ "special": false
1988
+ },
1989
+ "255999": {
1990
+ "content": "<unused99>",
1991
+ "lstrip": false,
1992
+ "normalized": false,
1993
+ "rstrip": false,
1994
+ "single_word": false,
1995
+ "special": false
1996
+ }
1997
+ },
1998
+ "additional_special_tokens": [
1999
+ "<start_of_turn>",
2000
+ "<end_of_turn>"
2001
+ ],
2002
+ "bos_token": "<bos>",
2003
+ "clean_up_tokenization_spaces": false,
2004
+ "eos_token": "<eos>",
2005
+ "extra_special_tokens": {},
2006
+ "model_max_length": 1000000000000000019884624838656,
2007
+ "pad_token": "<pad>",
2008
+ "sp_model_kwargs": {},
2009
+ "spaces_between_special_tokens": false,
2010
+ "tokenizer_class": "GemmaTokenizer",
2011
+ "unk_token": "<unk>",
2012
+ "use_default_system_prompt": false
2013
+ }
checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,2914 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.5590297095805052,
6
+ "eval_steps": 100,
7
+ "global_step": 2000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "entropy": 1.1043419890105723,
14
+ "epoch": 0.017803493935684877,
15
+ "grad_norm": 10.4375,
16
+ "learning_rate": 6.000000000000001e-07,
17
+ "loss": 1.8349,
18
+ "mean_token_accuracy": 0.6576539978384972,
19
+ "num_tokens": 259048.0,
20
+ "step": 10
21
+ },
22
+ {
23
+ "entropy": 1.0772266678512097,
24
+ "epoch": 0.035606987871369754,
25
+ "grad_norm": 9.125,
26
+ "learning_rate": 1.2666666666666669e-06,
27
+ "loss": 1.7708,
28
+ "mean_token_accuracy": 0.663632657751441,
29
+ "num_tokens": 532019.0,
30
+ "step": 20
31
+ },
32
+ {
33
+ "entropy": 1.1068850204348564,
34
+ "epoch": 0.053410481807054634,
35
+ "grad_norm": 8.0,
36
+ "learning_rate": 1.9333333333333336e-06,
37
+ "loss": 1.7509,
38
+ "mean_token_accuracy": 0.6660936743021011,
39
+ "num_tokens": 807220.0,
40
+ "step": 30
41
+ },
42
+ {
43
+ "entropy": 1.1769584748893975,
44
+ "epoch": 0.07121397574273951,
45
+ "grad_norm": 6.03125,
46
+ "learning_rate": 2.6e-06,
47
+ "loss": 1.7149,
48
+ "mean_token_accuracy": 0.6657536435872317,
49
+ "num_tokens": 1068429.0,
50
+ "step": 40
51
+ },
52
+ {
53
+ "entropy": 1.2056159820407628,
54
+ "epoch": 0.08901746967842439,
55
+ "grad_norm": 4.8125,
56
+ "learning_rate": 3.266666666666667e-06,
57
+ "loss": 1.5855,
58
+ "mean_token_accuracy": 0.6780260927975178,
59
+ "num_tokens": 1336698.0,
60
+ "step": 50
61
+ },
62
+ {
63
+ "entropy": 1.2256702020764352,
64
+ "epoch": 0.10682096361410927,
65
+ "grad_norm": 3.171875,
66
+ "learning_rate": 3.9333333333333335e-06,
67
+ "loss": 1.4638,
68
+ "mean_token_accuracy": 0.6949976272881031,
69
+ "num_tokens": 1608574.0,
70
+ "step": 60
71
+ },
72
+ {
73
+ "entropy": 1.2453045435249805,
74
+ "epoch": 0.12462445754979415,
75
+ "grad_norm": 2.015625,
76
+ "learning_rate": 4.600000000000001e-06,
77
+ "loss": 1.3582,
78
+ "mean_token_accuracy": 0.7114116825163365,
79
+ "num_tokens": 1872747.0,
80
+ "step": 70
81
+ },
82
+ {
83
+ "entropy": 1.1628358859568835,
84
+ "epoch": 0.14242795148547902,
85
+ "grad_norm": 1.5546875,
86
+ "learning_rate": 5.2666666666666665e-06,
87
+ "loss": 1.259,
88
+ "mean_token_accuracy": 0.7274526257067919,
89
+ "num_tokens": 2133173.0,
90
+ "step": 80
91
+ },
92
+ {
93
+ "entropy": 1.015030711889267,
94
+ "epoch": 0.1602314454211639,
95
+ "grad_norm": 1.484375,
96
+ "learning_rate": 5.933333333333335e-06,
97
+ "loss": 1.141,
98
+ "mean_token_accuracy": 0.7500751964747906,
99
+ "num_tokens": 2406145.0,
100
+ "step": 90
101
+ },
102
+ {
103
+ "entropy": 0.9836219865828753,
104
+ "epoch": 0.17803493935684878,
105
+ "grad_norm": 1.40625,
106
+ "learning_rate": 6.600000000000001e-06,
107
+ "loss": 1.1206,
108
+ "mean_token_accuracy": 0.7526107206940651,
109
+ "num_tokens": 2663709.0,
110
+ "step": 100
111
+ },
112
+ {
113
+ "epoch": 0.17803493935684878,
114
+ "eval_biology_entropy": 1.7539519824981689,
115
+ "eval_biology_loss": 2.223750591278076,
116
+ "eval_biology_mean_token_accuracy": 0.5860000367164612,
117
+ "eval_biology_num_tokens": 2663709.0,
118
+ "eval_biology_runtime": 39.4949,
119
+ "eval_biology_samples_per_second": 12.66,
120
+ "eval_biology_steps_per_second": 3.165,
121
+ "step": 100
122
+ },
123
+ {
124
+ "epoch": 0.17803493935684878,
125
+ "eval_chemistry_entropy": 0.9367400913238525,
126
+ "eval_chemistry_loss": 1.1236988306045532,
127
+ "eval_chemistry_mean_token_accuracy": 0.7581998686790467,
128
+ "eval_chemistry_num_tokens": 2663709.0,
129
+ "eval_chemistry_runtime": 49.0416,
130
+ "eval_chemistry_samples_per_second": 10.195,
131
+ "eval_chemistry_steps_per_second": 2.549,
132
+ "step": 100
133
+ },
134
+ {
135
+ "epoch": 0.17803493935684878,
136
+ "eval_math_entropy": 0.8011676266193389,
137
+ "eval_math_loss": 1.1609103679656982,
138
+ "eval_math_mean_token_accuracy": 0.7619935193061829,
139
+ "eval_math_num_tokens": 2663709.0,
140
+ "eval_math_runtime": 50.4715,
141
+ "eval_math_samples_per_second": 9.907,
142
+ "eval_math_steps_per_second": 2.477,
143
+ "step": 100
144
+ },
145
+ {
146
+ "epoch": 0.17803493935684878,
147
+ "eval_physics_entropy": 0.8744560084342956,
148
+ "eval_physics_loss": 1.0428816080093384,
149
+ "eval_physics_mean_token_accuracy": 0.7703640584945679,
150
+ "eval_physics_num_tokens": 2663709.0,
151
+ "eval_physics_runtime": 58.0003,
152
+ "eval_physics_samples_per_second": 8.621,
153
+ "eval_physics_steps_per_second": 2.155,
154
+ "step": 100
155
+ },
156
+ {
157
+ "entropy": 0.9135929390788078,
158
+ "epoch": 0.19583843329253367,
159
+ "grad_norm": 1.4140625,
160
+ "learning_rate": 7.266666666666668e-06,
161
+ "loss": 1.0519,
162
+ "mean_token_accuracy": 0.764449367672205,
163
+ "num_tokens": 2934980.0,
164
+ "step": 110
165
+ },
166
+ {
167
+ "entropy": 0.9051187889650464,
168
+ "epoch": 0.21364192722821854,
169
+ "grad_norm": 1.203125,
170
+ "learning_rate": 7.933333333333334e-06,
171
+ "loss": 1.0212,
172
+ "mean_token_accuracy": 0.7677608881145715,
173
+ "num_tokens": 3208702.0,
174
+ "step": 120
175
+ },
176
+ {
177
+ "entropy": 0.8583753045648337,
178
+ "epoch": 0.2314454211639034,
179
+ "grad_norm": 1.359375,
180
+ "learning_rate": 8.6e-06,
181
+ "loss": 1.008,
182
+ "mean_token_accuracy": 0.7726358521729708,
183
+ "num_tokens": 3480119.0,
184
+ "step": 130
185
+ },
186
+ {
187
+ "entropy": 0.873523542098701,
188
+ "epoch": 0.2492489150995883,
189
+ "grad_norm": 1.4296875,
190
+ "learning_rate": 9.266666666666667e-06,
191
+ "loss": 0.9985,
192
+ "mean_token_accuracy": 0.7731208562850952,
193
+ "num_tokens": 3746392.0,
194
+ "step": 140
195
+ },
196
+ {
197
+ "entropy": 0.8644652301445603,
198
+ "epoch": 0.26705240903527316,
199
+ "grad_norm": 1.4921875,
200
+ "learning_rate": 9.933333333333334e-06,
201
+ "loss": 0.9938,
202
+ "mean_token_accuracy": 0.7713731925934553,
203
+ "num_tokens": 4019487.0,
204
+ "step": 150
205
+ },
206
+ {
207
+ "entropy": 0.8324168430641293,
208
+ "epoch": 0.28485590297095803,
209
+ "grad_norm": 1.3828125,
210
+ "learning_rate": 1.0600000000000002e-05,
211
+ "loss": 0.9661,
212
+ "mean_token_accuracy": 0.7780516821891069,
213
+ "num_tokens": 4298100.0,
214
+ "step": 160
215
+ },
216
+ {
217
+ "entropy": 0.8229840690270066,
218
+ "epoch": 0.30265939690664295,
219
+ "grad_norm": 1.375,
220
+ "learning_rate": 1.1266666666666668e-05,
221
+ "loss": 0.9472,
222
+ "mean_token_accuracy": 0.781847920268774,
223
+ "num_tokens": 4568116.0,
224
+ "step": 170
225
+ },
226
+ {
227
+ "entropy": 0.8173020841553807,
228
+ "epoch": 0.3204628908423278,
229
+ "grad_norm": 1.375,
230
+ "learning_rate": 1.1933333333333335e-05,
231
+ "loss": 0.9483,
232
+ "mean_token_accuracy": 0.7797277990728617,
233
+ "num_tokens": 4831334.0,
234
+ "step": 180
235
+ },
236
+ {
237
+ "entropy": 0.8084267199039459,
238
+ "epoch": 0.3382663847780127,
239
+ "grad_norm": 1.1171875,
240
+ "learning_rate": 1.2600000000000001e-05,
241
+ "loss": 0.9229,
242
+ "mean_token_accuracy": 0.7864153161644936,
243
+ "num_tokens": 5103301.0,
244
+ "step": 190
245
+ },
246
+ {
247
+ "entropy": 0.8149868924170732,
248
+ "epoch": 0.35606987871369755,
249
+ "grad_norm": 1.125,
250
+ "learning_rate": 1.3266666666666668e-05,
251
+ "loss": 0.9542,
252
+ "mean_token_accuracy": 0.7797067802399397,
253
+ "num_tokens": 5362915.0,
254
+ "step": 200
255
+ },
256
+ {
257
+ "epoch": 0.35606987871369755,
258
+ "eval_biology_entropy": 1.6254518747329711,
259
+ "eval_biology_loss": 1.95707106590271,
260
+ "eval_biology_mean_token_accuracy": 0.6195439734458923,
261
+ "eval_biology_num_tokens": 5362915.0,
262
+ "eval_biology_runtime": 39.4088,
263
+ "eval_biology_samples_per_second": 12.688,
264
+ "eval_biology_steps_per_second": 3.172,
265
+ "step": 200
266
+ },
267
+ {
268
+ "epoch": 0.35606987871369755,
269
+ "eval_chemistry_entropy": 0.8238337967395782,
270
+ "eval_chemistry_loss": 0.9596245288848877,
271
+ "eval_chemistry_mean_token_accuracy": 0.7839277501106262,
272
+ "eval_chemistry_num_tokens": 5362915.0,
273
+ "eval_chemistry_runtime": 49.0715,
274
+ "eval_chemistry_samples_per_second": 10.189,
275
+ "eval_chemistry_steps_per_second": 2.547,
276
+ "step": 200
277
+ },
278
+ {
279
+ "epoch": 0.35606987871369755,
280
+ "eval_math_entropy": 0.7457812407016754,
281
+ "eval_math_loss": 1.055013656616211,
282
+ "eval_math_mean_token_accuracy": 0.775778597354889,
283
+ "eval_math_num_tokens": 5362915.0,
284
+ "eval_math_runtime": 50.4466,
285
+ "eval_math_samples_per_second": 9.911,
286
+ "eval_math_steps_per_second": 2.478,
287
+ "step": 200
288
+ },
289
+ {
290
+ "epoch": 0.35606987871369755,
291
+ "eval_physics_entropy": 0.8023798677921296,
292
+ "eval_physics_loss": 0.9094064235687256,
293
+ "eval_physics_mean_token_accuracy": 0.7911213874816895,
294
+ "eval_physics_num_tokens": 5362915.0,
295
+ "eval_physics_runtime": 58.0142,
296
+ "eval_physics_samples_per_second": 8.619,
297
+ "eval_physics_steps_per_second": 2.155,
298
+ "step": 200
299
+ },
300
+ {
301
+ "entropy": 0.7771274181082845,
302
+ "epoch": 0.3738733726493824,
303
+ "grad_norm": 1.1484375,
304
+ "learning_rate": 1.3933333333333334e-05,
305
+ "loss": 0.9062,
306
+ "mean_token_accuracy": 0.7895921036601067,
307
+ "num_tokens": 5625455.0,
308
+ "step": 210
309
+ },
310
+ {
311
+ "entropy": 0.7874576786532999,
312
+ "epoch": 0.39167686658506734,
313
+ "grad_norm": 1.140625,
314
+ "learning_rate": 1.46e-05,
315
+ "loss": 0.9095,
316
+ "mean_token_accuracy": 0.7898499093949795,
317
+ "num_tokens": 5890806.0,
318
+ "step": 220
319
+ },
320
+ {
321
+ "entropy": 0.7605824310332536,
322
+ "epoch": 0.4094803605207522,
323
+ "grad_norm": 1.2265625,
324
+ "learning_rate": 1.5266666666666667e-05,
325
+ "loss": 0.8848,
326
+ "mean_token_accuracy": 0.7932682719081641,
327
+ "num_tokens": 6158751.0,
328
+ "step": 230
329
+ },
330
+ {
331
+ "entropy": 0.7746684672310948,
332
+ "epoch": 0.4272838544564371,
333
+ "grad_norm": 1.2109375,
334
+ "learning_rate": 1.5933333333333336e-05,
335
+ "loss": 0.8878,
336
+ "mean_token_accuracy": 0.7916001878678799,
337
+ "num_tokens": 6423747.0,
338
+ "step": 240
339
+ },
340
+ {
341
+ "entropy": 0.780491204932332,
342
+ "epoch": 0.44508734839212194,
343
+ "grad_norm": 1.5234375,
344
+ "learning_rate": 1.66e-05,
345
+ "loss": 0.9032,
346
+ "mean_token_accuracy": 0.7888783302158118,
347
+ "num_tokens": 6684517.0,
348
+ "step": 250
349
+ },
350
+ {
351
+ "entropy": 0.753203121572733,
352
+ "epoch": 0.4628908423278068,
353
+ "grad_norm": 1.1484375,
354
+ "learning_rate": 1.726666666666667e-05,
355
+ "loss": 0.8825,
356
+ "mean_token_accuracy": 0.7946223251521587,
357
+ "num_tokens": 6945659.0,
358
+ "step": 260
359
+ },
360
+ {
361
+ "entropy": 0.7606851188465953,
362
+ "epoch": 0.48069433626349173,
363
+ "grad_norm": 1.265625,
364
+ "learning_rate": 1.7933333333333333e-05,
365
+ "loss": 0.883,
366
+ "mean_token_accuracy": 0.7942271258682012,
367
+ "num_tokens": 7217797.0,
368
+ "step": 270
369
+ },
370
+ {
371
+ "entropy": 0.7277190953493118,
372
+ "epoch": 0.4984978301991766,
373
+ "grad_norm": 1.1328125,
374
+ "learning_rate": 1.86e-05,
375
+ "loss": 0.8361,
376
+ "mean_token_accuracy": 0.8006175145506859,
377
+ "num_tokens": 7498182.0,
378
+ "step": 280
379
+ },
380
+ {
381
+ "entropy": 0.7577250253409147,
382
+ "epoch": 0.5163013241348615,
383
+ "grad_norm": 1.046875,
384
+ "learning_rate": 1.926666666666667e-05,
385
+ "loss": 0.8779,
386
+ "mean_token_accuracy": 0.7946350980550051,
387
+ "num_tokens": 7761686.0,
388
+ "step": 290
389
+ },
390
+ {
391
+ "entropy": 0.7584944000467658,
392
+ "epoch": 0.5341048180705463,
393
+ "grad_norm": 1.234375,
394
+ "learning_rate": 1.9933333333333334e-05,
395
+ "loss": 0.8804,
396
+ "mean_token_accuracy": 0.7928748667240143,
397
+ "num_tokens": 8026923.0,
398
+ "step": 300
399
+ },
400
+ {
401
+ "epoch": 0.5341048180705463,
402
+ "eval_biology_entropy": 1.5056169233322143,
403
+ "eval_biology_loss": 1.85715913772583,
404
+ "eval_biology_mean_token_accuracy": 0.63224751329422,
405
+ "eval_biology_num_tokens": 8026923.0,
406
+ "eval_biology_runtime": 39.4557,
407
+ "eval_biology_samples_per_second": 12.672,
408
+ "eval_biology_steps_per_second": 3.168,
409
+ "step": 300
410
+ },
411
+ {
412
+ "epoch": 0.5341048180705463,
413
+ "eval_chemistry_entropy": 0.7292679617404938,
414
+ "eval_chemistry_loss": 0.897660493850708,
415
+ "eval_chemistry_mean_token_accuracy": 0.7952092924118042,
416
+ "eval_chemistry_num_tokens": 8026923.0,
417
+ "eval_chemistry_runtime": 49.0708,
418
+ "eval_chemistry_samples_per_second": 10.189,
419
+ "eval_chemistry_steps_per_second": 2.547,
420
+ "step": 300
421
+ },
422
+ {
423
+ "epoch": 0.5341048180705463,
424
+ "eval_math_entropy": 0.6854351389408112,
425
+ "eval_math_loss": 1.022861361503601,
426
+ "eval_math_mean_token_accuracy": 0.782105106830597,
427
+ "eval_math_num_tokens": 8026923.0,
428
+ "eval_math_runtime": 50.5137,
429
+ "eval_math_samples_per_second": 9.898,
430
+ "eval_math_steps_per_second": 2.475,
431
+ "step": 300
432
+ },
433
+ {
434
+ "epoch": 0.5341048180705463,
435
+ "eval_physics_entropy": 0.7186625280380249,
436
+ "eval_physics_loss": 0.8633946180343628,
437
+ "eval_physics_mean_token_accuracy": 0.7989518413543701,
438
+ "eval_physics_num_tokens": 8026923.0,
439
+ "eval_physics_runtime": 58.023,
440
+ "eval_physics_samples_per_second": 8.617,
441
+ "eval_physics_steps_per_second": 2.154,
442
+ "step": 300
443
+ },
444
+ {
445
+ "entropy": 0.739030777104199,
446
+ "epoch": 0.5519083120062312,
447
+ "grad_norm": 1.28125,
448
+ "learning_rate": 1.9933333333333334e-05,
449
+ "loss": 0.8602,
450
+ "mean_token_accuracy": 0.7965835016220808,
451
+ "num_tokens": 8301506.0,
452
+ "step": 310
453
+ },
454
+ {
455
+ "entropy": 0.7407136702910065,
456
+ "epoch": 0.5697118059419161,
457
+ "grad_norm": 0.98828125,
458
+ "learning_rate": 1.985925925925926e-05,
459
+ "loss": 0.8705,
460
+ "mean_token_accuracy": 0.7978284440934658,
461
+ "num_tokens": 8559126.0,
462
+ "step": 320
463
+ },
464
+ {
465
+ "entropy": 0.7342625459656119,
466
+ "epoch": 0.587515299877601,
467
+ "grad_norm": 1.265625,
468
+ "learning_rate": 1.9785185185185187e-05,
469
+ "loss": 0.8624,
470
+ "mean_token_accuracy": 0.7968722756952047,
471
+ "num_tokens": 8821088.0,
472
+ "step": 330
473
+ },
474
+ {
475
+ "entropy": 0.7211404331028461,
476
+ "epoch": 0.6053187938132859,
477
+ "grad_norm": 1.1640625,
478
+ "learning_rate": 1.971111111111111e-05,
479
+ "loss": 0.8405,
480
+ "mean_token_accuracy": 0.8016587898135186,
481
+ "num_tokens": 9089866.0,
482
+ "step": 340
483
+ },
484
+ {
485
+ "entropy": 0.7180757647380233,
486
+ "epoch": 0.6231222877489707,
487
+ "grad_norm": 1.1875,
488
+ "learning_rate": 1.963703703703704e-05,
489
+ "loss": 0.8443,
490
+ "mean_token_accuracy": 0.7990191083401441,
491
+ "num_tokens": 9358866.0,
492
+ "step": 350
493
+ },
494
+ {
495
+ "entropy": 0.7139529844745993,
496
+ "epoch": 0.6409257816846556,
497
+ "grad_norm": 1.0078125,
498
+ "learning_rate": 1.9562962962962964e-05,
499
+ "loss": 0.828,
500
+ "mean_token_accuracy": 0.80230086222291,
501
+ "num_tokens": 9629977.0,
502
+ "step": 360
503
+ },
504
+ {
505
+ "entropy": 0.7079251240938902,
506
+ "epoch": 0.6587292756203404,
507
+ "grad_norm": 1.078125,
508
+ "learning_rate": 1.948888888888889e-05,
509
+ "loss": 0.8268,
510
+ "mean_token_accuracy": 0.8037587519735098,
511
+ "num_tokens": 9897757.0,
512
+ "step": 370
513
+ },
514
+ {
515
+ "entropy": 0.692839514836669,
516
+ "epoch": 0.6765327695560254,
517
+ "grad_norm": 1.0390625,
518
+ "learning_rate": 1.9414814814814817e-05,
519
+ "loss": 0.8141,
520
+ "mean_token_accuracy": 0.8078057061880827,
521
+ "num_tokens": 10168367.0,
522
+ "step": 380
523
+ },
524
+ {
525
+ "entropy": 0.6842571076005697,
526
+ "epoch": 0.6943362634917103,
527
+ "grad_norm": 1.046875,
528
+ "learning_rate": 1.9340740740740743e-05,
529
+ "loss": 0.8014,
530
+ "mean_token_accuracy": 0.8098865192383528,
531
+ "num_tokens": 10439039.0,
532
+ "step": 390
533
+ },
534
+ {
535
+ "entropy": 0.6961875386536122,
536
+ "epoch": 0.7121397574273951,
537
+ "grad_norm": 1.0390625,
538
+ "learning_rate": 1.926666666666667e-05,
539
+ "loss": 0.8155,
540
+ "mean_token_accuracy": 0.80610904507339,
541
+ "num_tokens": 10709549.0,
542
+ "step": 400
543
+ },
544
+ {
545
+ "epoch": 0.7121397574273951,
546
+ "eval_biology_entropy": 1.507101933479309,
547
+ "eval_biology_loss": 1.8014453649520874,
548
+ "eval_biology_mean_token_accuracy": 0.6401848444938659,
549
+ "eval_biology_num_tokens": 10709549.0,
550
+ "eval_biology_runtime": 39.406,
551
+ "eval_biology_samples_per_second": 12.688,
552
+ "eval_biology_steps_per_second": 3.172,
553
+ "step": 400
554
+ },
555
+ {
556
+ "epoch": 0.7121397574273951,
557
+ "eval_chemistry_entropy": 0.7235584797859191,
558
+ "eval_chemistry_loss": 0.8613554239273071,
559
+ "eval_chemistry_mean_token_accuracy": 0.8018820552825928,
560
+ "eval_chemistry_num_tokens": 10709549.0,
561
+ "eval_chemistry_runtime": 49.0945,
562
+ "eval_chemistry_samples_per_second": 10.184,
563
+ "eval_chemistry_steps_per_second": 2.546,
564
+ "step": 400
565
+ },
566
+ {
567
+ "epoch": 0.7121397574273951,
568
+ "eval_math_entropy": 0.6896943941116332,
569
+ "eval_math_loss": 1.000999927520752,
570
+ "eval_math_mean_token_accuracy": 0.7846557745933532,
571
+ "eval_math_num_tokens": 10709549.0,
572
+ "eval_math_runtime": 50.5019,
573
+ "eval_math_samples_per_second": 9.901,
574
+ "eval_math_steps_per_second": 2.475,
575
+ "step": 400
576
+ },
577
+ {
578
+ "epoch": 0.7121397574273951,
579
+ "eval_physics_entropy": 0.7171106839179993,
580
+ "eval_physics_loss": 0.8377377986907959,
581
+ "eval_physics_mean_token_accuracy": 0.8029740490913391,
582
+ "eval_physics_num_tokens": 10709549.0,
583
+ "eval_physics_runtime": 58.0325,
584
+ "eval_physics_samples_per_second": 8.616,
585
+ "eval_physics_steps_per_second": 2.154,
586
+ "step": 400
587
+ },
588
+ {
589
+ "entropy": 0.6906447313725949,
590
+ "epoch": 0.72994325136308,
591
+ "grad_norm": 1.1171875,
592
+ "learning_rate": 1.9192592592592593e-05,
593
+ "loss": 0.8102,
594
+ "mean_token_accuracy": 0.8085145801305771,
595
+ "num_tokens": 10976011.0,
596
+ "step": 410
597
+ },
598
+ {
599
+ "entropy": 0.69708113335073,
600
+ "epoch": 0.7477467452987648,
601
+ "grad_norm": 0.9765625,
602
+ "learning_rate": 1.911851851851852e-05,
603
+ "loss": 0.8109,
604
+ "mean_token_accuracy": 0.806747506186366,
605
+ "num_tokens": 11245251.0,
606
+ "step": 420
607
+ },
608
+ {
609
+ "entropy": 0.7070492304861545,
610
+ "epoch": 0.7655502392344498,
611
+ "grad_norm": 1.0625,
612
+ "learning_rate": 1.9044444444444446e-05,
613
+ "loss": 0.8228,
614
+ "mean_token_accuracy": 0.8028202462941408,
615
+ "num_tokens": 11518514.0,
616
+ "step": 430
617
+ },
618
+ {
619
+ "entropy": 0.7102027812972664,
620
+ "epoch": 0.7833537331701347,
621
+ "grad_norm": 1.078125,
622
+ "learning_rate": 1.8970370370370372e-05,
623
+ "loss": 0.8262,
624
+ "mean_token_accuracy": 0.8028789341449738,
625
+ "num_tokens": 11787117.0,
626
+ "step": 440
627
+ },
628
+ {
629
+ "entropy": 0.7030388584360481,
630
+ "epoch": 0.8011572271058195,
631
+ "grad_norm": 1.3046875,
632
+ "learning_rate": 1.8896296296296295e-05,
633
+ "loss": 0.8174,
634
+ "mean_token_accuracy": 0.8053972851485014,
635
+ "num_tokens": 12050993.0,
636
+ "step": 450
637
+ },
638
+ {
639
+ "entropy": 0.7048017742112279,
640
+ "epoch": 0.8189607210415044,
641
+ "grad_norm": 1.046875,
642
+ "learning_rate": 1.8822222222222225e-05,
643
+ "loss": 0.8205,
644
+ "mean_token_accuracy": 0.8050019450485706,
645
+ "num_tokens": 12311688.0,
646
+ "step": 460
647
+ },
648
+ {
649
+ "entropy": 0.6749309128150344,
650
+ "epoch": 0.8367642149771892,
651
+ "grad_norm": 0.94921875,
652
+ "learning_rate": 1.874814814814815e-05,
653
+ "loss": 0.7839,
654
+ "mean_token_accuracy": 0.8101571343839169,
655
+ "num_tokens": 12598408.0,
656
+ "step": 470
657
+ },
658
+ {
659
+ "entropy": 0.680501715093851,
660
+ "epoch": 0.8545677089128741,
661
+ "grad_norm": 0.984375,
662
+ "learning_rate": 1.8674074074074075e-05,
663
+ "loss": 0.8005,
664
+ "mean_token_accuracy": 0.8100913222879171,
665
+ "num_tokens": 12869642.0,
666
+ "step": 480
667
+ },
668
+ {
669
+ "entropy": 0.6734585866332055,
670
+ "epoch": 0.8723712028485591,
671
+ "grad_norm": 0.92578125,
672
+ "learning_rate": 1.86e-05,
673
+ "loss": 0.787,
674
+ "mean_token_accuracy": 0.8114359531551599,
675
+ "num_tokens": 13139555.0,
676
+ "step": 490
677
+ },
678
+ {
679
+ "entropy": 0.7050674421712756,
680
+ "epoch": 0.8901746967842439,
681
+ "grad_norm": 1.03125,
682
+ "learning_rate": 1.8525925925925928e-05,
683
+ "loss": 0.8282,
684
+ "mean_token_accuracy": 0.8043184716254472,
685
+ "num_tokens": 13396545.0,
686
+ "step": 500
687
+ },
688
+ {
689
+ "epoch": 0.8901746967842439,
690
+ "eval_biology_entropy": 1.4803909873962402,
691
+ "eval_biology_loss": 1.7652114629745483,
692
+ "eval_biology_mean_token_accuracy": 0.6454687314033508,
693
+ "eval_biology_num_tokens": 13396545.0,
694
+ "eval_biology_runtime": 39.3799,
695
+ "eval_biology_samples_per_second": 12.697,
696
+ "eval_biology_steps_per_second": 3.174,
697
+ "step": 500
698
+ },
699
+ {
700
+ "epoch": 0.8901746967842439,
701
+ "eval_chemistry_entropy": 0.7009948241710663,
702
+ "eval_chemistry_loss": 0.8403192758560181,
703
+ "eval_chemistry_mean_token_accuracy": 0.8064807448387146,
704
+ "eval_chemistry_num_tokens": 13396545.0,
705
+ "eval_chemistry_runtime": 49.2607,
706
+ "eval_chemistry_samples_per_second": 10.15,
707
+ "eval_chemistry_steps_per_second": 2.538,
708
+ "step": 500
709
+ },
710
+ {
711
+ "epoch": 0.8901746967842439,
712
+ "eval_math_entropy": 0.6736877272129059,
713
+ "eval_math_loss": 0.9955361485481262,
714
+ "eval_math_mean_token_accuracy": 0.7851687602996826,
715
+ "eval_math_num_tokens": 13396545.0,
716
+ "eval_math_runtime": 50.5877,
717
+ "eval_math_samples_per_second": 9.884,
718
+ "eval_math_steps_per_second": 2.471,
719
+ "step": 500
720
+ },
721
+ {
722
+ "epoch": 0.8901746967842439,
723
+ "eval_physics_entropy": 0.6975537137985229,
724
+ "eval_physics_loss": 0.8254684209823608,
725
+ "eval_physics_mean_token_accuracy": 0.8055949606895447,
726
+ "eval_physics_num_tokens": 13396545.0,
727
+ "eval_physics_runtime": 58.1535,
728
+ "eval_physics_samples_per_second": 8.598,
729
+ "eval_physics_steps_per_second": 2.149,
730
+ "step": 500
731
+ },
732
+ {
733
+ "entropy": 0.6699989970773459,
734
+ "epoch": 0.9079781907199288,
735
+ "grad_norm": 1.0390625,
736
+ "learning_rate": 1.8451851851851855e-05,
737
+ "loss": 0.7858,
738
+ "mean_token_accuracy": 0.8136365339159966,
739
+ "num_tokens": 13667857.0,
740
+ "step": 510
741
+ },
742
+ {
743
+ "entropy": 0.6965480221435427,
744
+ "epoch": 0.9257816846556136,
745
+ "grad_norm": 0.96875,
746
+ "learning_rate": 1.8377777777777778e-05,
747
+ "loss": 0.8068,
748
+ "mean_token_accuracy": 0.8083094954490662,
749
+ "num_tokens": 13932771.0,
750
+ "step": 520
751
+ },
752
+ {
753
+ "entropy": 0.6731918448582291,
754
+ "epoch": 0.9435851785912985,
755
+ "grad_norm": 0.9609375,
756
+ "learning_rate": 1.8303703703703704e-05,
757
+ "loss": 0.7957,
758
+ "mean_token_accuracy": 0.81204720325768,
759
+ "num_tokens": 14194632.0,
760
+ "step": 530
761
+ },
762
+ {
763
+ "entropy": 0.6959722986444831,
764
+ "epoch": 0.9613886725269835,
765
+ "grad_norm": 0.96875,
766
+ "learning_rate": 1.822962962962963e-05,
767
+ "loss": 0.8154,
768
+ "mean_token_accuracy": 0.8060157299041748,
769
+ "num_tokens": 14457650.0,
770
+ "step": 540
771
+ },
772
+ {
773
+ "entropy": 0.6704609870910645,
774
+ "epoch": 0.9791921664626683,
775
+ "grad_norm": 0.9375,
776
+ "learning_rate": 1.8155555555555557e-05,
777
+ "loss": 0.793,
778
+ "mean_token_accuracy": 0.8112935304641724,
779
+ "num_tokens": 14724967.0,
780
+ "step": 550
781
+ },
782
+ {
783
+ "entropy": 0.693532545492053,
784
+ "epoch": 0.9969956603983532,
785
+ "grad_norm": 1.0078125,
786
+ "learning_rate": 1.8081481481481484e-05,
787
+ "loss": 0.8139,
788
+ "mean_token_accuracy": 0.8083073332905769,
789
+ "num_tokens": 14993272.0,
790
+ "step": 560
791
+ },
792
+ {
793
+ "entropy": 0.6279453858252495,
794
+ "epoch": 1.014242795148548,
795
+ "grad_norm": 0.9453125,
796
+ "learning_rate": 1.800740740740741e-05,
797
+ "loss": 0.745,
798
+ "mean_token_accuracy": 0.8219076448871243,
799
+ "num_tokens": 15254936.0,
800
+ "step": 570
801
+ },
802
+ {
803
+ "entropy": 0.65065772626549,
804
+ "epoch": 1.0320462890842328,
805
+ "grad_norm": 1.0859375,
806
+ "learning_rate": 1.7933333333333333e-05,
807
+ "loss": 0.7716,
808
+ "mean_token_accuracy": 0.8141439683735371,
809
+ "num_tokens": 15515007.0,
810
+ "step": 580
811
+ },
812
+ {
813
+ "entropy": 0.6248815247789026,
814
+ "epoch": 1.0498497830199176,
815
+ "grad_norm": 1.1015625,
816
+ "learning_rate": 1.785925925925926e-05,
817
+ "loss": 0.7409,
818
+ "mean_token_accuracy": 0.8221572887152433,
819
+ "num_tokens": 15794203.0,
820
+ "step": 590
821
+ },
822
+ {
823
+ "entropy": 0.6451754650101066,
824
+ "epoch": 1.0676532769556026,
825
+ "grad_norm": 0.99609375,
826
+ "learning_rate": 1.7785185185185186e-05,
827
+ "loss": 0.7597,
828
+ "mean_token_accuracy": 0.8173915591090918,
829
+ "num_tokens": 16063664.0,
830
+ "step": 600
831
+ },
832
+ {
833
+ "epoch": 1.0676532769556026,
834
+ "eval_biology_entropy": 1.3715826230049133,
835
+ "eval_biology_loss": 1.7631210088729858,
836
+ "eval_biology_mean_token_accuracy": 0.6465545001029969,
837
+ "eval_biology_num_tokens": 16063664.0,
838
+ "eval_biology_runtime": 39.4085,
839
+ "eval_biology_samples_per_second": 12.688,
840
+ "eval_biology_steps_per_second": 3.172,
841
+ "step": 600
842
+ },
843
+ {
844
+ "epoch": 1.0676532769556026,
845
+ "eval_chemistry_entropy": 0.6441384816169738,
846
+ "eval_chemistry_loss": 0.8298478722572327,
847
+ "eval_chemistry_mean_token_accuracy": 0.8090244836807251,
848
+ "eval_chemistry_num_tokens": 16063664.0,
849
+ "eval_chemistry_runtime": 49.0682,
850
+ "eval_chemistry_samples_per_second": 10.19,
851
+ "eval_chemistry_steps_per_second": 2.547,
852
+ "step": 600
853
+ },
854
+ {
855
+ "epoch": 1.0676532769556026,
856
+ "eval_math_entropy": 0.6348585722446441,
857
+ "eval_math_loss": 0.9978653788566589,
858
+ "eval_math_mean_token_accuracy": 0.7868981838226319,
859
+ "eval_math_num_tokens": 16063664.0,
860
+ "eval_math_runtime": 50.4477,
861
+ "eval_math_samples_per_second": 9.911,
862
+ "eval_math_steps_per_second": 2.478,
863
+ "step": 600
864
+ },
865
+ {
866
+ "epoch": 1.0676532769556026,
867
+ "eval_physics_entropy": 0.6496791577339173,
868
+ "eval_physics_loss": 0.8208206295967102,
869
+ "eval_physics_mean_token_accuracy": 0.8067752327919007,
870
+ "eval_physics_num_tokens": 16063664.0,
871
+ "eval_physics_runtime": 58.0277,
872
+ "eval_physics_samples_per_second": 8.617,
873
+ "eval_physics_steps_per_second": 2.154,
874
+ "step": 600
875
+ },
876
+ {
877
+ "entropy": 0.6230961512774229,
878
+ "epoch": 1.0854567708912874,
879
+ "grad_norm": 1.0234375,
880
+ "learning_rate": 1.7711111111111113e-05,
881
+ "loss": 0.745,
882
+ "mean_token_accuracy": 0.8219233963638544,
883
+ "num_tokens": 16338303.0,
884
+ "step": 610
885
+ },
886
+ {
887
+ "entropy": 0.6581493113189936,
888
+ "epoch": 1.1032602648269723,
889
+ "grad_norm": 1.046875,
890
+ "learning_rate": 1.763703703703704e-05,
891
+ "loss": 0.7699,
892
+ "mean_token_accuracy": 0.8144335735589265,
893
+ "num_tokens": 16606302.0,
894
+ "step": 620
895
+ },
896
+ {
897
+ "entropy": 0.6356614841148257,
898
+ "epoch": 1.121063758762657,
899
+ "grad_norm": 1.0625,
900
+ "learning_rate": 1.7562962962962962e-05,
901
+ "loss": 0.7491,
902
+ "mean_token_accuracy": 0.8173594359308481,
903
+ "num_tokens": 16877071.0,
904
+ "step": 630
905
+ },
906
+ {
907
+ "entropy": 0.6287711111828684,
908
+ "epoch": 1.138867252698342,
909
+ "grad_norm": 1.0546875,
910
+ "learning_rate": 1.7488888888888892e-05,
911
+ "loss": 0.7491,
912
+ "mean_token_accuracy": 0.8200664207339287,
913
+ "num_tokens": 17145775.0,
914
+ "step": 640
915
+ },
916
+ {
917
+ "entropy": 0.6477484388276935,
918
+ "epoch": 1.156670746634027,
919
+ "grad_norm": 1.0546875,
920
+ "learning_rate": 1.7414814814814815e-05,
921
+ "loss": 0.7566,
922
+ "mean_token_accuracy": 0.8180534493178129,
923
+ "num_tokens": 17410775.0,
924
+ "step": 650
925
+ },
926
+ {
927
+ "entropy": 0.6610335078090429,
928
+ "epoch": 1.1744742405697117,
929
+ "grad_norm": 1.1640625,
930
+ "learning_rate": 1.7340740740740742e-05,
931
+ "loss": 0.7746,
932
+ "mean_token_accuracy": 0.8117418963462114,
933
+ "num_tokens": 17677791.0,
934
+ "step": 660
935
+ },
936
+ {
937
+ "entropy": 0.6399538004770875,
938
+ "epoch": 1.1922777345053968,
939
+ "grad_norm": 0.984375,
940
+ "learning_rate": 1.726666666666667e-05,
941
+ "loss": 0.748,
942
+ "mean_token_accuracy": 0.8180656544864178,
943
+ "num_tokens": 17949441.0,
944
+ "step": 670
945
+ },
946
+ {
947
+ "entropy": 0.6249047636985778,
948
+ "epoch": 1.2100812284410816,
949
+ "grad_norm": 1.0,
950
+ "learning_rate": 1.7192592592592595e-05,
951
+ "loss": 0.7445,
952
+ "mean_token_accuracy": 0.819851553067565,
953
+ "num_tokens": 18217742.0,
954
+ "step": 680
955
+ },
956
+ {
957
+ "entropy": 0.6427486116066575,
958
+ "epoch": 1.2278847223767664,
959
+ "grad_norm": 1.09375,
960
+ "learning_rate": 1.711851851851852e-05,
961
+ "loss": 0.7565,
962
+ "mean_token_accuracy": 0.8179482214152813,
963
+ "num_tokens": 18487769.0,
964
+ "step": 690
965
+ },
966
+ {
967
+ "entropy": 0.6315130151808261,
968
+ "epoch": 1.2456882163124514,
969
+ "grad_norm": 1.0859375,
970
+ "learning_rate": 1.7044444444444445e-05,
971
+ "loss": 0.7467,
972
+ "mean_token_accuracy": 0.8189041160047055,
973
+ "num_tokens": 18760296.0,
974
+ "step": 700
975
+ },
976
+ {
977
+ "epoch": 1.2456882163124514,
978
+ "eval_biology_entropy": 1.3494874267578125,
979
+ "eval_biology_loss": 1.7597026824951172,
980
+ "eval_biology_mean_token_accuracy": 0.6474382462501526,
981
+ "eval_biology_num_tokens": 18760296.0,
982
+ "eval_biology_runtime": 39.4416,
983
+ "eval_biology_samples_per_second": 12.677,
984
+ "eval_biology_steps_per_second": 3.169,
985
+ "step": 700
986
+ },
987
+ {
988
+ "epoch": 1.2456882163124514,
989
+ "eval_chemistry_entropy": 0.6433191192150116,
990
+ "eval_chemistry_loss": 0.8230161070823669,
991
+ "eval_chemistry_mean_token_accuracy": 0.8107681026458741,
992
+ "eval_chemistry_num_tokens": 18760296.0,
993
+ "eval_chemistry_runtime": 49.1024,
994
+ "eval_chemistry_samples_per_second": 10.183,
995
+ "eval_chemistry_steps_per_second": 2.546,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 1.2456882163124514,
1000
+ "eval_math_entropy": 0.6405739262104034,
1001
+ "eval_math_loss": 0.9985885620117188,
1002
+ "eval_math_mean_token_accuracy": 0.7867832021713257,
1003
+ "eval_math_num_tokens": 18760296.0,
1004
+ "eval_math_runtime": 50.4916,
1005
+ "eval_math_samples_per_second": 9.903,
1006
+ "eval_math_steps_per_second": 2.476,
1007
+ "step": 700
1008
+ },
1009
+ {
1010
+ "epoch": 1.2456882163124514,
1011
+ "eval_physics_entropy": 0.6501080214977264,
1012
+ "eval_physics_loss": 0.8173370361328125,
1013
+ "eval_physics_mean_token_accuracy": 0.8081451225280761,
1014
+ "eval_physics_num_tokens": 18760296.0,
1015
+ "eval_physics_runtime": 58.0347,
1016
+ "eval_physics_samples_per_second": 8.616,
1017
+ "eval_physics_steps_per_second": 2.154,
1018
+ "step": 700
1019
+ },
1020
+ {
1021
+ "entropy": 0.6334251884371043,
1022
+ "epoch": 1.2634917102481362,
1023
+ "grad_norm": 0.9765625,
1024
+ "learning_rate": 1.697037037037037e-05,
1025
+ "loss": 0.7436,
1026
+ "mean_token_accuracy": 0.8211747828871012,
1027
+ "num_tokens": 19035733.0,
1028
+ "step": 710
1029
+ },
1030
+ {
1031
+ "entropy": 0.6478446906432509,
1032
+ "epoch": 1.281295204183821,
1033
+ "grad_norm": 1.0234375,
1034
+ "learning_rate": 1.6896296296296298e-05,
1035
+ "loss": 0.7619,
1036
+ "mean_token_accuracy": 0.8154366932809353,
1037
+ "num_tokens": 19311432.0,
1038
+ "step": 720
1039
+ },
1040
+ {
1041
+ "entropy": 0.6194965062662959,
1042
+ "epoch": 1.299098698119506,
1043
+ "grad_norm": 0.953125,
1044
+ "learning_rate": 1.6822222222222224e-05,
1045
+ "loss": 0.7348,
1046
+ "mean_token_accuracy": 0.8232949875295162,
1047
+ "num_tokens": 19593016.0,
1048
+ "step": 730
1049
+ },
1050
+ {
1051
+ "entropy": 0.6300735978409648,
1052
+ "epoch": 1.3169021920551909,
1053
+ "grad_norm": 1.015625,
1054
+ "learning_rate": 1.6748148148148147e-05,
1055
+ "loss": 0.7414,
1056
+ "mean_token_accuracy": 0.8206213727593422,
1057
+ "num_tokens": 19860476.0,
1058
+ "step": 740
1059
+ },
1060
+ {
1061
+ "entropy": 0.6315095463767648,
1062
+ "epoch": 1.3347056859908757,
1063
+ "grad_norm": 1.171875,
1064
+ "learning_rate": 1.6674074074074077e-05,
1065
+ "loss": 0.7454,
1066
+ "mean_token_accuracy": 0.8194679979234933,
1067
+ "num_tokens": 20124436.0,
1068
+ "step": 750
1069
+ },
1070
+ {
1071
+ "entropy": 0.6350213142111898,
1072
+ "epoch": 1.3525091799265607,
1073
+ "grad_norm": 1.0234375,
1074
+ "learning_rate": 1.66e-05,
1075
+ "loss": 0.7551,
1076
+ "mean_token_accuracy": 0.8202624648809433,
1077
+ "num_tokens": 20388027.0,
1078
+ "step": 760
1079
+ },
1080
+ {
1081
+ "entropy": 0.6325125509873033,
1082
+ "epoch": 1.3703126738622455,
1083
+ "grad_norm": 1.09375,
1084
+ "learning_rate": 1.6525925925925927e-05,
1085
+ "loss": 0.7501,
1086
+ "mean_token_accuracy": 0.8188550252467394,
1087
+ "num_tokens": 20656076.0,
1088
+ "step": 770
1089
+ },
1090
+ {
1091
+ "entropy": 0.6585695873945951,
1092
+ "epoch": 1.3881161677979303,
1093
+ "grad_norm": 1.0625,
1094
+ "learning_rate": 1.6451851851851853e-05,
1095
+ "loss": 0.7837,
1096
+ "mean_token_accuracy": 0.8139019794762135,
1097
+ "num_tokens": 20911633.0,
1098
+ "step": 780
1099
+ },
1100
+ {
1101
+ "entropy": 0.6532254891470075,
1102
+ "epoch": 1.4059196617336152,
1103
+ "grad_norm": 0.9921875,
1104
+ "learning_rate": 1.637777777777778e-05,
1105
+ "loss": 0.7764,
1106
+ "mean_token_accuracy": 0.8136138409376145,
1107
+ "num_tokens": 21176227.0,
1108
+ "step": 790
1109
+ },
1110
+ {
1111
+ "entropy": 0.6332234110683203,
1112
+ "epoch": 1.4237231556693,
1113
+ "grad_norm": 1.09375,
1114
+ "learning_rate": 1.6303703703703706e-05,
1115
+ "loss": 0.7509,
1116
+ "mean_token_accuracy": 0.8198547769337893,
1117
+ "num_tokens": 21445242.0,
1118
+ "step": 800
1119
+ },
1120
+ {
1121
+ "epoch": 1.4237231556693,
1122
+ "eval_biology_entropy": 1.3427690668106078,
1123
+ "eval_biology_loss": 1.7495665550231934,
1124
+ "eval_biology_mean_token_accuracy": 0.6489976191520691,
1125
+ "eval_biology_num_tokens": 21445242.0,
1126
+ "eval_biology_runtime": 39.4019,
1127
+ "eval_biology_samples_per_second": 12.69,
1128
+ "eval_biology_steps_per_second": 3.172,
1129
+ "step": 800
1130
+ },
1131
+ {
1132
+ "epoch": 1.4237231556693,
1133
+ "eval_chemistry_entropy": 0.6382337064743042,
1134
+ "eval_chemistry_loss": 0.8153977394104004,
1135
+ "eval_chemistry_mean_token_accuracy": 0.8124490218162537,
1136
+ "eval_chemistry_num_tokens": 21445242.0,
1137
+ "eval_chemistry_runtime": 49.0471,
1138
+ "eval_chemistry_samples_per_second": 10.194,
1139
+ "eval_chemistry_steps_per_second": 2.549,
1140
+ "step": 800
1141
+ },
1142
+ {
1143
+ "epoch": 1.4237231556693,
1144
+ "eval_math_entropy": 0.635095400094986,
1145
+ "eval_math_loss": 0.9956026673316956,
1146
+ "eval_math_mean_token_accuracy": 0.7870233664512635,
1147
+ "eval_math_num_tokens": 21445242.0,
1148
+ "eval_math_runtime": 50.7413,
1149
+ "eval_math_samples_per_second": 9.854,
1150
+ "eval_math_steps_per_second": 2.463,
1151
+ "step": 800
1152
+ },
1153
+ {
1154
+ "epoch": 1.4237231556693,
1155
+ "eval_physics_entropy": 0.6485776097774506,
1156
+ "eval_physics_loss": 0.8143745064735413,
1157
+ "eval_physics_mean_token_accuracy": 0.8084757113456726,
1158
+ "eval_physics_num_tokens": 21445242.0,
1159
+ "eval_physics_runtime": 58.0381,
1160
+ "eval_physics_samples_per_second": 8.615,
1161
+ "eval_physics_steps_per_second": 2.154,
1162
+ "step": 800
1163
+ },
1164
+ {
1165
+ "entropy": 0.6331835286691785,
1166
+ "epoch": 1.441526649604985,
1167
+ "grad_norm": 1.140625,
1168
+ "learning_rate": 1.622962962962963e-05,
1169
+ "loss": 0.7506,
1170
+ "mean_token_accuracy": 0.8180669218301773,
1171
+ "num_tokens": 21718455.0,
1172
+ "step": 810
1173
+ },
1174
+ {
1175
+ "entropy": 0.6370328038930893,
1176
+ "epoch": 1.4593301435406698,
1177
+ "grad_norm": 1.0703125,
1178
+ "learning_rate": 1.6155555555555556e-05,
1179
+ "loss": 0.7572,
1180
+ "mean_token_accuracy": 0.8202964432537556,
1181
+ "num_tokens": 21974076.0,
1182
+ "step": 820
1183
+ },
1184
+ {
1185
+ "entropy": 0.6381731679663062,
1186
+ "epoch": 1.4771336374763546,
1187
+ "grad_norm": 1.0625,
1188
+ "learning_rate": 1.6081481481481482e-05,
1189
+ "loss": 0.7579,
1190
+ "mean_token_accuracy": 0.8184547819197178,
1191
+ "num_tokens": 22241599.0,
1192
+ "step": 830
1193
+ },
1194
+ {
1195
+ "entropy": 0.6486698495224118,
1196
+ "epoch": 1.4949371314120397,
1197
+ "grad_norm": 1.140625,
1198
+ "learning_rate": 1.600740740740741e-05,
1199
+ "loss": 0.7624,
1200
+ "mean_token_accuracy": 0.8160121306777001,
1201
+ "num_tokens": 22510725.0,
1202
+ "step": 840
1203
+ },
1204
+ {
1205
+ "entropy": 0.6194259492680431,
1206
+ "epoch": 1.5127406253477245,
1207
+ "grad_norm": 1.0234375,
1208
+ "learning_rate": 1.5933333333333336e-05,
1209
+ "loss": 0.7469,
1210
+ "mean_token_accuracy": 0.8220851149410009,
1211
+ "num_tokens": 22778514.0,
1212
+ "step": 850
1213
+ },
1214
+ {
1215
+ "entropy": 0.6234903791919351,
1216
+ "epoch": 1.5305441192834093,
1217
+ "grad_norm": 1.0625,
1218
+ "learning_rate": 1.5859259259259262e-05,
1219
+ "loss": 0.7359,
1220
+ "mean_token_accuracy": 0.8212783958762884,
1221
+ "num_tokens": 23051230.0,
1222
+ "step": 860
1223
+ },
1224
+ {
1225
+ "entropy": 0.6352918868884444,
1226
+ "epoch": 1.5483476132190943,
1227
+ "grad_norm": 1.0546875,
1228
+ "learning_rate": 1.5785185185185185e-05,
1229
+ "loss": 0.7591,
1230
+ "mean_token_accuracy": 0.8191397253423929,
1231
+ "num_tokens": 23306327.0,
1232
+ "step": 870
1233
+ },
1234
+ {
1235
+ "entropy": 0.6375154785811901,
1236
+ "epoch": 1.5661511071547791,
1237
+ "grad_norm": 1.015625,
1238
+ "learning_rate": 1.571111111111111e-05,
1239
+ "loss": 0.7523,
1240
+ "mean_token_accuracy": 0.8182045802474022,
1241
+ "num_tokens": 23573127.0,
1242
+ "step": 880
1243
+ },
1244
+ {
1245
+ "entropy": 0.6325192734599113,
1246
+ "epoch": 1.583954601090464,
1247
+ "grad_norm": 1.015625,
1248
+ "learning_rate": 1.5637037037037038e-05,
1249
+ "loss": 0.7446,
1250
+ "mean_token_accuracy": 0.8195050850510597,
1251
+ "num_tokens": 23841914.0,
1252
+ "step": 890
1253
+ },
1254
+ {
1255
+ "entropy": 0.633665832132101,
1256
+ "epoch": 1.601758095026149,
1257
+ "grad_norm": 1.1015625,
1258
+ "learning_rate": 1.5562962962962965e-05,
1259
+ "loss": 0.7591,
1260
+ "mean_token_accuracy": 0.8187031075358391,
1261
+ "num_tokens": 24105114.0,
1262
+ "step": 900
1263
+ },
1264
+ {
1265
+ "epoch": 1.601758095026149,
1266
+ "eval_biology_entropy": 1.3434553322792053,
1267
+ "eval_biology_loss": 1.7432700395584106,
1268
+ "eval_biology_mean_token_accuracy": 0.6507211275100708,
1269
+ "eval_biology_num_tokens": 24105114.0,
1270
+ "eval_biology_runtime": 39.4357,
1271
+ "eval_biology_samples_per_second": 12.679,
1272
+ "eval_biology_steps_per_second": 3.17,
1273
+ "step": 900
1274
+ },
1275
+ {
1276
+ "epoch": 1.601758095026149,
1277
+ "eval_chemistry_entropy": 0.6393454251289368,
1278
+ "eval_chemistry_loss": 0.8100669980049133,
1279
+ "eval_chemistry_mean_token_accuracy": 0.8131857676506042,
1280
+ "eval_chemistry_num_tokens": 24105114.0,
1281
+ "eval_chemistry_runtime": 49.0586,
1282
+ "eval_chemistry_samples_per_second": 10.192,
1283
+ "eval_chemistry_steps_per_second": 2.548,
1284
+ "step": 900
1285
+ },
1286
+ {
1287
+ "epoch": 1.601758095026149,
1288
+ "eval_math_entropy": 0.6370618710517884,
1289
+ "eval_math_loss": 0.9941329956054688,
1290
+ "eval_math_mean_token_accuracy": 0.7876229991912842,
1291
+ "eval_math_num_tokens": 24105114.0,
1292
+ "eval_math_runtime": 50.5321,
1293
+ "eval_math_samples_per_second": 9.895,
1294
+ "eval_math_steps_per_second": 2.474,
1295
+ "step": 900
1296
+ },
1297
+ {
1298
+ "epoch": 1.601758095026149,
1299
+ "eval_physics_entropy": 0.6476399068832397,
1300
+ "eval_physics_loss": 0.8108195662498474,
1301
+ "eval_physics_mean_token_accuracy": 0.8089202756881714,
1302
+ "eval_physics_num_tokens": 24105114.0,
1303
+ "eval_physics_runtime": 58.0639,
1304
+ "eval_physics_samples_per_second": 8.611,
1305
+ "eval_physics_steps_per_second": 2.153,
1306
+ "step": 900
1307
+ },
1308
+ {
1309
+ "entropy": 0.6105097897350789,
1310
+ "epoch": 1.6195615889618338,
1311
+ "grad_norm": 1.03125,
1312
+ "learning_rate": 1.548888888888889e-05,
1313
+ "loss": 0.7282,
1314
+ "mean_token_accuracy": 0.8247725363820791,
1315
+ "num_tokens": 24384008.0,
1316
+ "step": 910
1317
+ },
1318
+ {
1319
+ "entropy": 0.6406213022768498,
1320
+ "epoch": 1.6373650828975186,
1321
+ "grad_norm": 1.1484375,
1322
+ "learning_rate": 1.5414814814814814e-05,
1323
+ "loss": 0.7526,
1324
+ "mean_token_accuracy": 0.8185552686452866,
1325
+ "num_tokens": 24638205.0,
1326
+ "step": 920
1327
+ },
1328
+ {
1329
+ "entropy": 0.591418044641614,
1330
+ "epoch": 1.6551685768332036,
1331
+ "grad_norm": 1.0390625,
1332
+ "learning_rate": 1.5340740740740744e-05,
1333
+ "loss": 0.7101,
1334
+ "mean_token_accuracy": 0.8291535805910826,
1335
+ "num_tokens": 24910104.0,
1336
+ "step": 930
1337
+ },
1338
+ {
1339
+ "entropy": 0.6204024739563465,
1340
+ "epoch": 1.6729720707688884,
1341
+ "grad_norm": 1.0625,
1342
+ "learning_rate": 1.5266666666666667e-05,
1343
+ "loss": 0.7309,
1344
+ "mean_token_accuracy": 0.8225251983851194,
1345
+ "num_tokens": 25181306.0,
1346
+ "step": 940
1347
+ },
1348
+ {
1349
+ "entropy": 0.6261829130351544,
1350
+ "epoch": 1.6907755647045732,
1351
+ "grad_norm": 1.1171875,
1352
+ "learning_rate": 1.5192592592592594e-05,
1353
+ "loss": 0.743,
1354
+ "mean_token_accuracy": 0.8214005049318075,
1355
+ "num_tokens": 25449138.0,
1356
+ "step": 950
1357
+ },
1358
+ {
1359
+ "entropy": 0.6261117428541183,
1360
+ "epoch": 1.7085790586402583,
1361
+ "grad_norm": 1.015625,
1362
+ "learning_rate": 1.5118518518518519e-05,
1363
+ "loss": 0.7499,
1364
+ "mean_token_accuracy": 0.8206599947065115,
1365
+ "num_tokens": 25709030.0,
1366
+ "step": 960
1367
+ },
1368
+ {
1369
+ "entropy": 0.636249510012567,
1370
+ "epoch": 1.7263825525759429,
1371
+ "grad_norm": 1.09375,
1372
+ "learning_rate": 1.5044444444444445e-05,
1373
+ "loss": 0.7537,
1374
+ "mean_token_accuracy": 0.8185036793351174,
1375
+ "num_tokens": 25972807.0,
1376
+ "step": 970
1377
+ },
1378
+ {
1379
+ "entropy": 0.6218453321605921,
1380
+ "epoch": 1.744186046511628,
1381
+ "grad_norm": 1.0078125,
1382
+ "learning_rate": 1.497037037037037e-05,
1383
+ "loss": 0.7321,
1384
+ "mean_token_accuracy": 0.8228784658014774,
1385
+ "num_tokens": 26244955.0,
1386
+ "step": 980
1387
+ },
1388
+ {
1389
+ "entropy": 0.5934561615809798,
1390
+ "epoch": 1.761989540447313,
1391
+ "grad_norm": 1.0390625,
1392
+ "learning_rate": 1.4896296296296298e-05,
1393
+ "loss": 0.7147,
1394
+ "mean_token_accuracy": 0.8287193164229393,
1395
+ "num_tokens": 26515548.0,
1396
+ "step": 990
1397
+ },
1398
+ {
1399
+ "entropy": 0.6157584773376584,
1400
+ "epoch": 1.7797930343829975,
1401
+ "grad_norm": 1.1015625,
1402
+ "learning_rate": 1.4822222222222225e-05,
1403
+ "loss": 0.7263,
1404
+ "mean_token_accuracy": 0.8242408398538827,
1405
+ "num_tokens": 26782376.0,
1406
+ "step": 1000
1407
+ },
1408
+ {
1409
+ "epoch": 1.7797930343829975,
1410
+ "eval_biology_entropy": 1.3182690114974975,
1411
+ "eval_biology_loss": 1.7408480644226074,
1412
+ "eval_biology_mean_token_accuracy": 0.650810341835022,
1413
+ "eval_biology_num_tokens": 26782376.0,
1414
+ "eval_biology_runtime": 39.4221,
1415
+ "eval_biology_samples_per_second": 12.683,
1416
+ "eval_biology_steps_per_second": 3.171,
1417
+ "step": 1000
1418
+ },
1419
+ {
1420
+ "epoch": 1.7797930343829975,
1421
+ "eval_chemistry_entropy": 0.6269300398826599,
1422
+ "eval_chemistry_loss": 0.8059195876121521,
1423
+ "eval_chemistry_mean_token_accuracy": 0.8141151933670044,
1424
+ "eval_chemistry_num_tokens": 26782376.0,
1425
+ "eval_chemistry_runtime": 49.1405,
1426
+ "eval_chemistry_samples_per_second": 10.175,
1427
+ "eval_chemistry_steps_per_second": 2.544,
1428
+ "step": 1000
1429
+ },
1430
+ {
1431
+ "epoch": 1.7797930343829975,
1432
+ "eval_math_entropy": 0.6211173584461213,
1433
+ "eval_math_loss": 0.9962060451507568,
1434
+ "eval_math_mean_token_accuracy": 0.787696545124054,
1435
+ "eval_math_num_tokens": 26782376.0,
1436
+ "eval_math_runtime": 50.557,
1437
+ "eval_math_samples_per_second": 9.89,
1438
+ "eval_math_steps_per_second": 2.472,
1439
+ "step": 1000
1440
+ },
1441
+ {
1442
+ "epoch": 1.7797930343829975,
1443
+ "eval_physics_entropy": 0.6375918807983398,
1444
+ "eval_physics_loss": 0.8093506097793579,
1445
+ "eval_physics_mean_token_accuracy": 0.8095529170036316,
1446
+ "eval_physics_num_tokens": 26782376.0,
1447
+ "eval_physics_runtime": 58.1306,
1448
+ "eval_physics_samples_per_second": 8.601,
1449
+ "eval_physics_steps_per_second": 2.15,
1450
+ "step": 1000
1451
+ },
1452
+ {
1453
+ "entropy": 0.6244443429633975,
1454
+ "epoch": 1.7975965283186826,
1455
+ "grad_norm": 1.15625,
1456
+ "learning_rate": 1.474814814814815e-05,
1457
+ "loss": 0.7408,
1458
+ "mean_token_accuracy": 0.8216248027980327,
1459
+ "num_tokens": 27049648.0,
1460
+ "step": 1010
1461
+ },
1462
+ {
1463
+ "entropy": 0.6443131631240249,
1464
+ "epoch": 1.8154000222543676,
1465
+ "grad_norm": 1.1484375,
1466
+ "learning_rate": 1.4674074074074076e-05,
1467
+ "loss": 0.7608,
1468
+ "mean_token_accuracy": 0.8165751941502094,
1469
+ "num_tokens": 27315061.0,
1470
+ "step": 1020
1471
+ },
1472
+ {
1473
+ "entropy": 0.6104631774127484,
1474
+ "epoch": 1.8332035161900522,
1475
+ "grad_norm": 1.1171875,
1476
+ "learning_rate": 1.46e-05,
1477
+ "loss": 0.7215,
1478
+ "mean_token_accuracy": 0.8252159222960472,
1479
+ "num_tokens": 27587650.0,
1480
+ "step": 1030
1481
+ },
1482
+ {
1483
+ "entropy": 0.6240769168362021,
1484
+ "epoch": 1.8510070101257372,
1485
+ "grad_norm": 0.99609375,
1486
+ "learning_rate": 1.4525925925925927e-05,
1487
+ "loss": 0.7475,
1488
+ "mean_token_accuracy": 0.8225702874362468,
1489
+ "num_tokens": 27855458.0,
1490
+ "step": 1040
1491
+ },
1492
+ {
1493
+ "entropy": 0.6136018102988601,
1494
+ "epoch": 1.868810504061422,
1495
+ "grad_norm": 1.046875,
1496
+ "learning_rate": 1.4451851851851852e-05,
1497
+ "loss": 0.7309,
1498
+ "mean_token_accuracy": 0.8256569776684046,
1499
+ "num_tokens": 28127703.0,
1500
+ "step": 1050
1501
+ },
1502
+ {
1503
+ "entropy": 0.5999570606276393,
1504
+ "epoch": 1.8866139979971068,
1505
+ "grad_norm": 1.0078125,
1506
+ "learning_rate": 1.4377777777777779e-05,
1507
+ "loss": 0.712,
1508
+ "mean_token_accuracy": 0.828136184066534,
1509
+ "num_tokens": 28395128.0,
1510
+ "step": 1060
1511
+ },
1512
+ {
1513
+ "entropy": 0.6200173202902078,
1514
+ "epoch": 1.9044174919327919,
1515
+ "grad_norm": 1.078125,
1516
+ "learning_rate": 1.4303703703703703e-05,
1517
+ "loss": 0.7373,
1518
+ "mean_token_accuracy": 0.8221532251685858,
1519
+ "num_tokens": 28662344.0,
1520
+ "step": 1070
1521
+ },
1522
+ {
1523
+ "entropy": 0.6189345275983215,
1524
+ "epoch": 1.9222209858684767,
1525
+ "grad_norm": 1.140625,
1526
+ "learning_rate": 1.4229629629629632e-05,
1527
+ "loss": 0.7395,
1528
+ "mean_token_accuracy": 0.8227261707186699,
1529
+ "num_tokens": 28928769.0,
1530
+ "step": 1080
1531
+ },
1532
+ {
1533
+ "entropy": 0.6273608855903149,
1534
+ "epoch": 1.9400244798041615,
1535
+ "grad_norm": 1.1953125,
1536
+ "learning_rate": 1.4155555555555556e-05,
1537
+ "loss": 0.7448,
1538
+ "mean_token_accuracy": 0.8211823914200067,
1539
+ "num_tokens": 29186214.0,
1540
+ "step": 1090
1541
+ },
1542
+ {
1543
+ "entropy": 0.6261450372636318,
1544
+ "epoch": 1.9578279737398465,
1545
+ "grad_norm": 1.0703125,
1546
+ "learning_rate": 1.4081481481481483e-05,
1547
+ "loss": 0.7531,
1548
+ "mean_token_accuracy": 0.8194734916090965,
1549
+ "num_tokens": 29446445.0,
1550
+ "step": 1100
1551
+ },
1552
+ {
1553
+ "epoch": 1.9578279737398465,
1554
+ "eval_biology_entropy": 1.346300323009491,
1555
+ "eval_biology_loss": 1.7372664213180542,
1556
+ "eval_biology_mean_token_accuracy": 0.6519479279518128,
1557
+ "eval_biology_num_tokens": 29446445.0,
1558
+ "eval_biology_runtime": 39.4226,
1559
+ "eval_biology_samples_per_second": 12.683,
1560
+ "eval_biology_steps_per_second": 3.171,
1561
+ "step": 1100
1562
+ },
1563
+ {
1564
+ "epoch": 1.9578279737398465,
1565
+ "eval_chemistry_entropy": 0.6323098564147949,
1566
+ "eval_chemistry_loss": 0.8011805415153503,
1567
+ "eval_chemistry_mean_token_accuracy": 0.8155805091857911,
1568
+ "eval_chemistry_num_tokens": 29446445.0,
1569
+ "eval_chemistry_runtime": 49.0772,
1570
+ "eval_chemistry_samples_per_second": 10.188,
1571
+ "eval_chemistry_steps_per_second": 2.547,
1572
+ "step": 1100
1573
+ },
1574
+ {
1575
+ "epoch": 1.9578279737398465,
1576
+ "eval_math_entropy": 0.630736531496048,
1577
+ "eval_math_loss": 0.9944341778755188,
1578
+ "eval_math_mean_token_accuracy": 0.7879194793701172,
1579
+ "eval_math_num_tokens": 29446445.0,
1580
+ "eval_math_runtime": 50.5369,
1581
+ "eval_math_samples_per_second": 9.894,
1582
+ "eval_math_steps_per_second": 2.473,
1583
+ "step": 1100
1584
+ },
1585
+ {
1586
+ "epoch": 1.9578279737398465,
1587
+ "eval_physics_entropy": 0.6453085649013519,
1588
+ "eval_physics_loss": 0.8070665597915649,
1589
+ "eval_physics_mean_token_accuracy": 0.8097171154022217,
1590
+ "eval_physics_num_tokens": 29446445.0,
1591
+ "eval_physics_runtime": 58.1008,
1592
+ "eval_physics_samples_per_second": 8.606,
1593
+ "eval_physics_steps_per_second": 2.151,
1594
+ "step": 1100
1595
+ },
1596
+ {
1597
+ "entropy": 0.6213501699268817,
1598
+ "epoch": 1.9756314676755313,
1599
+ "grad_norm": 1.0625,
1600
+ "learning_rate": 1.400740740740741e-05,
1601
+ "loss": 0.7301,
1602
+ "mean_token_accuracy": 0.8246351405978203,
1603
+ "num_tokens": 29711771.0,
1604
+ "step": 1110
1605
+ },
1606
+ {
1607
+ "entropy": 0.6162075458094478,
1608
+ "epoch": 1.9934349616112161,
1609
+ "grad_norm": 1.109375,
1610
+ "learning_rate": 1.3933333333333334e-05,
1611
+ "loss": 0.737,
1612
+ "mean_token_accuracy": 0.8235828243196011,
1613
+ "num_tokens": 29979994.0,
1614
+ "step": 1120
1615
+ },
1616
+ {
1617
+ "entropy": 0.6002126078451834,
1618
+ "epoch": 2.010682096361411,
1619
+ "grad_norm": 1.109375,
1620
+ "learning_rate": 1.385925925925926e-05,
1621
+ "loss": 0.7089,
1622
+ "mean_token_accuracy": 0.8300682148625774,
1623
+ "num_tokens": 30240793.0,
1624
+ "step": 1130
1625
+ },
1626
+ {
1627
+ "entropy": 0.5583542298525572,
1628
+ "epoch": 2.028485590297096,
1629
+ "grad_norm": 1.1171875,
1630
+ "learning_rate": 1.3785185185185186e-05,
1631
+ "loss": 0.6862,
1632
+ "mean_token_accuracy": 0.8347798395901919,
1633
+ "num_tokens": 30503988.0,
1634
+ "step": 1140
1635
+ },
1636
+ {
1637
+ "entropy": 0.5757273212075233,
1638
+ "epoch": 2.0462890842327806,
1639
+ "grad_norm": 1.125,
1640
+ "learning_rate": 1.3711111111111112e-05,
1641
+ "loss": 0.6898,
1642
+ "mean_token_accuracy": 0.8326508197933435,
1643
+ "num_tokens": 30771841.0,
1644
+ "step": 1150
1645
+ },
1646
+ {
1647
+ "entropy": 0.5637224279344082,
1648
+ "epoch": 2.0640925781684656,
1649
+ "grad_norm": 1.203125,
1650
+ "learning_rate": 1.3637037037037037e-05,
1651
+ "loss": 0.6795,
1652
+ "mean_token_accuracy": 0.8356141887605191,
1653
+ "num_tokens": 31045037.0,
1654
+ "step": 1160
1655
+ },
1656
+ {
1657
+ "entropy": 0.6050490867346525,
1658
+ "epoch": 2.0818960721041506,
1659
+ "grad_norm": 1.2578125,
1660
+ "learning_rate": 1.3562962962962965e-05,
1661
+ "loss": 0.7224,
1662
+ "mean_token_accuracy": 0.8252181001007557,
1663
+ "num_tokens": 31299575.0,
1664
+ "step": 1170
1665
+ },
1666
+ {
1667
+ "entropy": 0.5962092559784651,
1668
+ "epoch": 2.099699566039835,
1669
+ "grad_norm": 1.1875,
1670
+ "learning_rate": 1.3488888888888888e-05,
1671
+ "loss": 0.7131,
1672
+ "mean_token_accuracy": 0.8261703923344612,
1673
+ "num_tokens": 31565963.0,
1674
+ "step": 1180
1675
+ },
1676
+ {
1677
+ "entropy": 0.5632721507921815,
1678
+ "epoch": 2.1175030599755202,
1679
+ "grad_norm": 1.1328125,
1680
+ "learning_rate": 1.3414814814814817e-05,
1681
+ "loss": 0.6914,
1682
+ "mean_token_accuracy": 0.8345137506723403,
1683
+ "num_tokens": 31834212.0,
1684
+ "step": 1190
1685
+ },
1686
+ {
1687
+ "entropy": 0.5934858426451683,
1688
+ "epoch": 2.1353065539112053,
1689
+ "grad_norm": 1.1953125,
1690
+ "learning_rate": 1.3340740740740741e-05,
1691
+ "loss": 0.7027,
1692
+ "mean_token_accuracy": 0.8284218475222588,
1693
+ "num_tokens": 32103356.0,
1694
+ "step": 1200
1695
+ },
1696
+ {
1697
+ "epoch": 2.1353065539112053,
1698
+ "eval_biology_entropy": 1.2053067927360535,
1699
+ "eval_biology_loss": 1.7820520401000977,
1700
+ "eval_biology_mean_token_accuracy": 0.650058352470398,
1701
+ "eval_biology_num_tokens": 32103356.0,
1702
+ "eval_biology_runtime": 39.4397,
1703
+ "eval_biology_samples_per_second": 12.678,
1704
+ "eval_biology_steps_per_second": 3.169,
1705
+ "step": 1200
1706
+ },
1707
+ {
1708
+ "epoch": 2.1353065539112053,
1709
+ "eval_chemistry_entropy": 0.5787506141662597,
1710
+ "eval_chemistry_loss": 0.8066306114196777,
1711
+ "eval_chemistry_mean_token_accuracy": 0.8150252356529236,
1712
+ "eval_chemistry_num_tokens": 32103356.0,
1713
+ "eval_chemistry_runtime": 49.0527,
1714
+ "eval_chemistry_samples_per_second": 10.193,
1715
+ "eval_chemistry_steps_per_second": 2.548,
1716
+ "step": 1200
1717
+ },
1718
+ {
1719
+ "epoch": 2.1353065539112053,
1720
+ "eval_math_entropy": 0.5850761234760284,
1721
+ "eval_math_loss": 1.0127291679382324,
1722
+ "eval_math_mean_token_accuracy": 0.7874734072685242,
1723
+ "eval_math_num_tokens": 32103356.0,
1724
+ "eval_math_runtime": 50.4025,
1725
+ "eval_math_samples_per_second": 9.92,
1726
+ "eval_math_steps_per_second": 2.48,
1727
+ "step": 1200
1728
+ },
1729
+ {
1730
+ "epoch": 2.1353065539112053,
1731
+ "eval_physics_entropy": 0.5898979375362396,
1732
+ "eval_physics_loss": 0.8185544610023499,
1733
+ "eval_physics_mean_token_accuracy": 0.8093464169502258,
1734
+ "eval_physics_num_tokens": 32103356.0,
1735
+ "eval_physics_runtime": 57.9316,
1736
+ "eval_physics_samples_per_second": 8.631,
1737
+ "eval_physics_steps_per_second": 2.158,
1738
+ "step": 1200
1739
+ },
1740
+ {
1741
+ "entropy": 0.581636905297637,
1742
+ "epoch": 2.15311004784689,
1743
+ "grad_norm": 1.0859375,
1744
+ "learning_rate": 1.3266666666666668e-05,
1745
+ "loss": 0.6917,
1746
+ "mean_token_accuracy": 0.8308463472872972,
1747
+ "num_tokens": 32374830.0,
1748
+ "step": 1210
1749
+ },
1750
+ {
1751
+ "entropy": 0.5604663521051407,
1752
+ "epoch": 2.170913541782575,
1753
+ "grad_norm": 1.1171875,
1754
+ "learning_rate": 1.3192592592592594e-05,
1755
+ "loss": 0.6806,
1756
+ "mean_token_accuracy": 0.8363849833607674,
1757
+ "num_tokens": 32643479.0,
1758
+ "step": 1220
1759
+ },
1760
+ {
1761
+ "entropy": 0.5652653275057673,
1762
+ "epoch": 2.18871703571826,
1763
+ "grad_norm": 1.15625,
1764
+ "learning_rate": 1.311851851851852e-05,
1765
+ "loss": 0.6847,
1766
+ "mean_token_accuracy": 0.8347171179950237,
1767
+ "num_tokens": 32908761.0,
1768
+ "step": 1230
1769
+ },
1770
+ {
1771
+ "entropy": 0.5932779083028435,
1772
+ "epoch": 2.2065205296539445,
1773
+ "grad_norm": 1.078125,
1774
+ "learning_rate": 1.3044444444444446e-05,
1775
+ "loss": 0.7123,
1776
+ "mean_token_accuracy": 0.8300972994416952,
1777
+ "num_tokens": 33166413.0,
1778
+ "step": 1240
1779
+ },
1780
+ {
1781
+ "entropy": 0.5816807165741921,
1782
+ "epoch": 2.2243240235896296,
1783
+ "grad_norm": 1.0546875,
1784
+ "learning_rate": 1.297037037037037e-05,
1785
+ "loss": 0.7029,
1786
+ "mean_token_accuracy": 0.8300608668476344,
1787
+ "num_tokens": 33432686.0,
1788
+ "step": 1250
1789
+ },
1790
+ {
1791
+ "entropy": 0.5771228864789009,
1792
+ "epoch": 2.242127517525314,
1793
+ "grad_norm": 1.2421875,
1794
+ "learning_rate": 1.2896296296296299e-05,
1795
+ "loss": 0.6995,
1796
+ "mean_token_accuracy": 0.8321005046367645,
1797
+ "num_tokens": 33693242.0,
1798
+ "step": 1260
1799
+ },
1800
+ {
1801
+ "entropy": 0.5507659334689379,
1802
+ "epoch": 2.259931011460999,
1803
+ "grad_norm": 1.234375,
1804
+ "learning_rate": 1.2822222222222222e-05,
1805
+ "loss": 0.662,
1806
+ "mean_token_accuracy": 0.8395966865122318,
1807
+ "num_tokens": 33970820.0,
1808
+ "step": 1270
1809
+ },
1810
+ {
1811
+ "entropy": 0.56566769964993,
1812
+ "epoch": 2.277734505396684,
1813
+ "grad_norm": 1.21875,
1814
+ "learning_rate": 1.274814814814815e-05,
1815
+ "loss": 0.6859,
1816
+ "mean_token_accuracy": 0.8336932327598333,
1817
+ "num_tokens": 34243042.0,
1818
+ "step": 1280
1819
+ },
1820
+ {
1821
+ "entropy": 0.5772348834201694,
1822
+ "epoch": 2.295537999332369,
1823
+ "grad_norm": 1.125,
1824
+ "learning_rate": 1.2674074074074075e-05,
1825
+ "loss": 0.6912,
1826
+ "mean_token_accuracy": 0.8332745991647243,
1827
+ "num_tokens": 34515236.0,
1828
+ "step": 1290
1829
+ },
1830
+ {
1831
+ "entropy": 0.5464396445080638,
1832
+ "epoch": 2.313341493268054,
1833
+ "grad_norm": 1.1171875,
1834
+ "learning_rate": 1.2600000000000001e-05,
1835
+ "loss": 0.6666,
1836
+ "mean_token_accuracy": 0.8404746253043414,
1837
+ "num_tokens": 34785068.0,
1838
+ "step": 1300
1839
+ },
1840
+ {
1841
+ "epoch": 2.313341493268054,
1842
+ "eval_biology_entropy": 1.2253249354362488,
1843
+ "eval_biology_loss": 1.7809605598449707,
1844
+ "eval_biology_mean_token_accuracy": 0.6500100207328796,
1845
+ "eval_biology_num_tokens": 34785068.0,
1846
+ "eval_biology_runtime": 39.4361,
1847
+ "eval_biology_samples_per_second": 12.679,
1848
+ "eval_biology_steps_per_second": 3.17,
1849
+ "step": 1300
1850
+ },
1851
+ {
1852
+ "epoch": 2.313341493268054,
1853
+ "eval_chemistry_entropy": 0.5928636178970337,
1854
+ "eval_chemistry_loss": 0.8039361238479614,
1855
+ "eval_chemistry_mean_token_accuracy": 0.8150280647277832,
1856
+ "eval_chemistry_num_tokens": 34785068.0,
1857
+ "eval_chemistry_runtime": 49.0994,
1858
+ "eval_chemistry_samples_per_second": 10.183,
1859
+ "eval_chemistry_steps_per_second": 2.546,
1860
+ "step": 1300
1861
+ },
1862
+ {
1863
+ "epoch": 2.313341493268054,
1864
+ "eval_math_entropy": 0.6018223831653595,
1865
+ "eval_math_loss": 1.0096815824508667,
1866
+ "eval_math_mean_token_accuracy": 0.7871740417480468,
1867
+ "eval_math_num_tokens": 34785068.0,
1868
+ "eval_math_runtime": 50.7658,
1869
+ "eval_math_samples_per_second": 9.849,
1870
+ "eval_math_steps_per_second": 2.462,
1871
+ "step": 1300
1872
+ },
1873
+ {
1874
+ "epoch": 2.313341493268054,
1875
+ "eval_physics_entropy": 0.6088585712909699,
1876
+ "eval_physics_loss": 0.8172869086265564,
1877
+ "eval_physics_mean_token_accuracy": 0.8088493304252624,
1878
+ "eval_physics_num_tokens": 34785068.0,
1879
+ "eval_physics_runtime": 58.0306,
1880
+ "eval_physics_samples_per_second": 8.616,
1881
+ "eval_physics_steps_per_second": 2.154,
1882
+ "step": 1300
1883
+ },
1884
+ {
1885
+ "entropy": 0.5890513943508268,
1886
+ "epoch": 2.331144987203739,
1887
+ "grad_norm": 1.078125,
1888
+ "learning_rate": 1.2525925925925928e-05,
1889
+ "loss": 0.6998,
1890
+ "mean_token_accuracy": 0.8297090869396925,
1891
+ "num_tokens": 35055845.0,
1892
+ "step": 1310
1893
+ },
1894
+ {
1895
+ "entropy": 0.5705585546791554,
1896
+ "epoch": 2.3489484811394234,
1897
+ "grad_norm": 1.1484375,
1898
+ "learning_rate": 1.2451851851851853e-05,
1899
+ "loss": 0.6906,
1900
+ "mean_token_accuracy": 0.8329575475305319,
1901
+ "num_tokens": 35327481.0,
1902
+ "step": 1320
1903
+ },
1904
+ {
1905
+ "entropy": 0.5891954906284809,
1906
+ "epoch": 2.3667519750751085,
1907
+ "grad_norm": 1.09375,
1908
+ "learning_rate": 1.237777777777778e-05,
1909
+ "loss": 0.7044,
1910
+ "mean_token_accuracy": 0.8297746371477842,
1911
+ "num_tokens": 35596362.0,
1912
+ "step": 1330
1913
+ },
1914
+ {
1915
+ "entropy": 0.5661238888278604,
1916
+ "epoch": 2.3845554690107935,
1917
+ "grad_norm": 1.1796875,
1918
+ "learning_rate": 1.2303703703703704e-05,
1919
+ "loss": 0.6833,
1920
+ "mean_token_accuracy": 0.8340384036302566,
1921
+ "num_tokens": 35869585.0,
1922
+ "step": 1340
1923
+ },
1924
+ {
1925
+ "entropy": 0.5856554383412004,
1926
+ "epoch": 2.402358962946478,
1927
+ "grad_norm": 1.2265625,
1928
+ "learning_rate": 1.222962962962963e-05,
1929
+ "loss": 0.6975,
1930
+ "mean_token_accuracy": 0.8312610980123282,
1931
+ "num_tokens": 36134072.0,
1932
+ "step": 1350
1933
+ },
1934
+ {
1935
+ "entropy": 0.5633181067183614,
1936
+ "epoch": 2.420162456882163,
1937
+ "grad_norm": 1.109375,
1938
+ "learning_rate": 1.2155555555555555e-05,
1939
+ "loss": 0.6856,
1940
+ "mean_token_accuracy": 0.8359689902514219,
1941
+ "num_tokens": 36406263.0,
1942
+ "step": 1360
1943
+ },
1944
+ {
1945
+ "entropy": 0.5795387465506792,
1946
+ "epoch": 2.437965950817848,
1947
+ "grad_norm": 1.2734375,
1948
+ "learning_rate": 1.2081481481481484e-05,
1949
+ "loss": 0.6909,
1950
+ "mean_token_accuracy": 0.8334782596677541,
1951
+ "num_tokens": 36676822.0,
1952
+ "step": 1370
1953
+ },
1954
+ {
1955
+ "entropy": 0.5749526681378484,
1956
+ "epoch": 2.4557694447535328,
1957
+ "grad_norm": 1.25,
1958
+ "learning_rate": 1.2007407407407408e-05,
1959
+ "loss": 0.6926,
1960
+ "mean_token_accuracy": 0.832967896386981,
1961
+ "num_tokens": 36942837.0,
1962
+ "step": 1380
1963
+ },
1964
+ {
1965
+ "entropy": 0.5685159346088767,
1966
+ "epoch": 2.473572938689218,
1967
+ "grad_norm": 1.203125,
1968
+ "learning_rate": 1.1933333333333335e-05,
1969
+ "loss": 0.6926,
1970
+ "mean_token_accuracy": 0.8322753962129354,
1971
+ "num_tokens": 37210791.0,
1972
+ "step": 1390
1973
+ },
1974
+ {
1975
+ "entropy": 0.5581249188631773,
1976
+ "epoch": 2.491376432624903,
1977
+ "grad_norm": 1.1875,
1978
+ "learning_rate": 1.185925925925926e-05,
1979
+ "loss": 0.6748,
1980
+ "mean_token_accuracy": 0.8378939881920815,
1981
+ "num_tokens": 37485822.0,
1982
+ "step": 1400
1983
+ },
1984
+ {
1985
+ "epoch": 2.491376432624903,
1986
+ "eval_biology_entropy": 1.2020832428932189,
1987
+ "eval_biology_loss": 1.7927825450897217,
1988
+ "eval_biology_mean_token_accuracy": 0.6494763836860656,
1989
+ "eval_biology_num_tokens": 37485822.0,
1990
+ "eval_biology_runtime": 39.4,
1991
+ "eval_biology_samples_per_second": 12.69,
1992
+ "eval_biology_steps_per_second": 3.173,
1993
+ "step": 1400
1994
+ },
1995
+ {
1996
+ "epoch": 2.491376432624903,
1997
+ "eval_chemistry_entropy": 0.5806494352817535,
1998
+ "eval_chemistry_loss": 0.8034472465515137,
1999
+ "eval_chemistry_mean_token_accuracy": 0.8160974597930908,
2000
+ "eval_chemistry_num_tokens": 37485822.0,
2001
+ "eval_chemistry_runtime": 49.0478,
2002
+ "eval_chemistry_samples_per_second": 10.194,
2003
+ "eval_chemistry_steps_per_second": 2.549,
2004
+ "step": 1400
2005
+ },
2006
+ {
2007
+ "epoch": 2.491376432624903,
2008
+ "eval_math_entropy": 0.5932310831546783,
2009
+ "eval_math_loss": 1.0124026536941528,
2010
+ "eval_math_mean_token_accuracy": 0.7870475478172302,
2011
+ "eval_math_num_tokens": 37485822.0,
2012
+ "eval_math_runtime": 50.4556,
2013
+ "eval_math_samples_per_second": 9.91,
2014
+ "eval_math_steps_per_second": 2.477,
2015
+ "step": 1400
2016
+ },
2017
+ {
2018
+ "epoch": 2.491376432624903,
2019
+ "eval_physics_entropy": 0.5949395530223847,
2020
+ "eval_physics_loss": 0.8190144300460815,
2021
+ "eval_physics_mean_token_accuracy": 0.8086953344345092,
2022
+ "eval_physics_num_tokens": 37485822.0,
2023
+ "eval_physics_runtime": 58.0046,
2024
+ "eval_physics_samples_per_second": 8.62,
2025
+ "eval_physics_steps_per_second": 2.155,
2026
+ "step": 1400
2027
+ },
2028
+ {
2029
+ "entropy": 0.5696863148361444,
2030
+ "epoch": 2.5091799265605874,
2031
+ "grad_norm": 1.1328125,
2032
+ "learning_rate": 1.1785185185185186e-05,
2033
+ "loss": 0.6901,
2034
+ "mean_token_accuracy": 0.8347679734230041,
2035
+ "num_tokens": 37746150.0,
2036
+ "step": 1410
2037
+ },
2038
+ {
2039
+ "entropy": 0.5688033113256097,
2040
+ "epoch": 2.5269834204962724,
2041
+ "grad_norm": 1.1171875,
2042
+ "learning_rate": 1.1711111111111113e-05,
2043
+ "loss": 0.6844,
2044
+ "mean_token_accuracy": 0.8332536488771438,
2045
+ "num_tokens": 38016863.0,
2046
+ "step": 1420
2047
+ },
2048
+ {
2049
+ "entropy": 0.5956829225644469,
2050
+ "epoch": 2.544786914431957,
2051
+ "grad_norm": 1.3125,
2052
+ "learning_rate": 1.1637037037037037e-05,
2053
+ "loss": 0.7092,
2054
+ "mean_token_accuracy": 0.8267782922834158,
2055
+ "num_tokens": 38277754.0,
2056
+ "step": 1430
2057
+ },
2058
+ {
2059
+ "entropy": 0.5805349120870232,
2060
+ "epoch": 2.562590408367642,
2061
+ "grad_norm": 1.2265625,
2062
+ "learning_rate": 1.1562962962962964e-05,
2063
+ "loss": 0.7032,
2064
+ "mean_token_accuracy": 0.8302845597267151,
2065
+ "num_tokens": 38542761.0,
2066
+ "step": 1440
2067
+ },
2068
+ {
2069
+ "entropy": 0.5706984421238304,
2070
+ "epoch": 2.580393902303327,
2071
+ "grad_norm": 1.234375,
2072
+ "learning_rate": 1.1488888888888889e-05,
2073
+ "loss": 0.6784,
2074
+ "mean_token_accuracy": 0.8334123123437166,
2075
+ "num_tokens": 38820999.0,
2076
+ "step": 1450
2077
+ },
2078
+ {
2079
+ "entropy": 0.5705496910959482,
2080
+ "epoch": 2.598197396239012,
2081
+ "grad_norm": 1.1640625,
2082
+ "learning_rate": 1.1414814814814817e-05,
2083
+ "loss": 0.7012,
2084
+ "mean_token_accuracy": 0.8325878925621509,
2085
+ "num_tokens": 39080016.0,
2086
+ "step": 1460
2087
+ },
2088
+ {
2089
+ "entropy": 0.5722655635327101,
2090
+ "epoch": 2.6160008901746967,
2091
+ "grad_norm": 1.203125,
2092
+ "learning_rate": 1.1340740740740742e-05,
2093
+ "loss": 0.6843,
2094
+ "mean_token_accuracy": 0.8355795852839947,
2095
+ "num_tokens": 39345434.0,
2096
+ "step": 1470
2097
+ },
2098
+ {
2099
+ "entropy": 0.5695728290826082,
2100
+ "epoch": 2.6338043841103818,
2101
+ "grad_norm": 1.2890625,
2102
+ "learning_rate": 1.1266666666666668e-05,
2103
+ "loss": 0.6919,
2104
+ "mean_token_accuracy": 0.8327361304312945,
2105
+ "num_tokens": 39610041.0,
2106
+ "step": 1480
2107
+ },
2108
+ {
2109
+ "entropy": 0.5567968433722854,
2110
+ "epoch": 2.6516078780460663,
2111
+ "grad_norm": 1.2734375,
2112
+ "learning_rate": 1.1192592592592593e-05,
2113
+ "loss": 0.6679,
2114
+ "mean_token_accuracy": 0.8385143429040909,
2115
+ "num_tokens": 39884185.0,
2116
+ "step": 1490
2117
+ },
2118
+ {
2119
+ "entropy": 0.5825007958337665,
2120
+ "epoch": 2.6694113719817514,
2121
+ "grad_norm": 1.34375,
2122
+ "learning_rate": 1.111851851851852e-05,
2123
+ "loss": 0.709,
2124
+ "mean_token_accuracy": 0.8283659152686595,
2125
+ "num_tokens": 40143543.0,
2126
+ "step": 1500
2127
+ },
2128
+ {
2129
+ "epoch": 2.6694113719817514,
2130
+ "eval_biology_entropy": 1.2247914123535155,
2131
+ "eval_biology_loss": 1.781731367111206,
2132
+ "eval_biology_mean_token_accuracy": 0.6498326325416565,
2133
+ "eval_biology_num_tokens": 40143543.0,
2134
+ "eval_biology_runtime": 39.4523,
2135
+ "eval_biology_samples_per_second": 12.674,
2136
+ "eval_biology_steps_per_second": 3.168,
2137
+ "step": 1500
2138
+ },
2139
+ {
2140
+ "epoch": 2.6694113719817514,
2141
+ "eval_chemistry_entropy": 0.593181202173233,
2142
+ "eval_chemistry_loss": 0.8005113005638123,
2143
+ "eval_chemistry_mean_token_accuracy": 0.816295175075531,
2144
+ "eval_chemistry_num_tokens": 40143543.0,
2145
+ "eval_chemistry_runtime": 48.8453,
2146
+ "eval_chemistry_samples_per_second": 10.236,
2147
+ "eval_chemistry_steps_per_second": 2.559,
2148
+ "step": 1500
2149
+ },
2150
+ {
2151
+ "epoch": 2.6694113719817514,
2152
+ "eval_math_entropy": 0.6026733157634735,
2153
+ "eval_math_loss": 1.0098049640655518,
2154
+ "eval_math_mean_token_accuracy": 0.787514422416687,
2155
+ "eval_math_num_tokens": 40143543.0,
2156
+ "eval_math_runtime": 50.407,
2157
+ "eval_math_samples_per_second": 9.919,
2158
+ "eval_math_steps_per_second": 2.48,
2159
+ "step": 1500
2160
+ },
2161
+ {
2162
+ "epoch": 2.6694113719817514,
2163
+ "eval_physics_entropy": 0.6053323314189911,
2164
+ "eval_physics_loss": 0.8167455792427063,
2165
+ "eval_physics_mean_token_accuracy": 0.8090441026687623,
2166
+ "eval_physics_num_tokens": 40143543.0,
2167
+ "eval_physics_runtime": 57.9918,
2168
+ "eval_physics_samples_per_second": 8.622,
2169
+ "eval_physics_steps_per_second": 2.155,
2170
+ "step": 1500
2171
+ },
2172
+ {
2173
+ "entropy": 0.5760323867201805,
2174
+ "epoch": 2.6872148659174364,
2175
+ "grad_norm": 1.21875,
2176
+ "learning_rate": 1.1044444444444444e-05,
2177
+ "loss": 0.6904,
2178
+ "mean_token_accuracy": 0.8340807158499957,
2179
+ "num_tokens": 40406812.0,
2180
+ "step": 1510
2181
+ },
2182
+ {
2183
+ "entropy": 0.5874979956075549,
2184
+ "epoch": 2.7050183598531214,
2185
+ "grad_norm": 1.265625,
2186
+ "learning_rate": 1.0970370370370371e-05,
2187
+ "loss": 0.7135,
2188
+ "mean_token_accuracy": 0.8278962858021259,
2189
+ "num_tokens": 40668543.0,
2190
+ "step": 1520
2191
+ },
2192
+ {
2193
+ "entropy": 0.5766199560835957,
2194
+ "epoch": 2.722821853788806,
2195
+ "grad_norm": 1.1953125,
2196
+ "learning_rate": 1.0896296296296298e-05,
2197
+ "loss": 0.687,
2198
+ "mean_token_accuracy": 0.8324626468122005,
2199
+ "num_tokens": 40942603.0,
2200
+ "step": 1530
2201
+ },
2202
+ {
2203
+ "entropy": 0.5831139018759132,
2204
+ "epoch": 2.740625347724491,
2205
+ "grad_norm": 1.1796875,
2206
+ "learning_rate": 1.0822222222222222e-05,
2207
+ "loss": 0.6943,
2208
+ "mean_token_accuracy": 0.8322464641183615,
2209
+ "num_tokens": 41208093.0,
2210
+ "step": 1540
2211
+ },
2212
+ {
2213
+ "entropy": 0.5711008545011282,
2214
+ "epoch": 2.7584288416601757,
2215
+ "grad_norm": 1.1484375,
2216
+ "learning_rate": 1.074814814814815e-05,
2217
+ "loss": 0.6939,
2218
+ "mean_token_accuracy": 0.8310312990099191,
2219
+ "num_tokens": 41477562.0,
2220
+ "step": 1550
2221
+ },
2222
+ {
2223
+ "entropy": 0.5629550171084702,
2224
+ "epoch": 2.7762323355958607,
2225
+ "grad_norm": 1.3359375,
2226
+ "learning_rate": 1.0674074074074074e-05,
2227
+ "loss": 0.6823,
2228
+ "mean_token_accuracy": 0.8355346731841564,
2229
+ "num_tokens": 41746571.0,
2230
+ "step": 1560
2231
+ },
2232
+ {
2233
+ "entropy": 0.5724150063470006,
2234
+ "epoch": 2.7940358295315457,
2235
+ "grad_norm": 1.265625,
2236
+ "learning_rate": 1.0600000000000002e-05,
2237
+ "loss": 0.6916,
2238
+ "mean_token_accuracy": 0.8337334085255861,
2239
+ "num_tokens": 42011633.0,
2240
+ "step": 1570
2241
+ },
2242
+ {
2243
+ "entropy": 0.5808822834864259,
2244
+ "epoch": 2.8118393234672303,
2245
+ "grad_norm": 1.1328125,
2246
+ "learning_rate": 1.0525925925925927e-05,
2247
+ "loss": 0.6945,
2248
+ "mean_token_accuracy": 0.8315359558910131,
2249
+ "num_tokens": 42283087.0,
2250
+ "step": 1580
2251
+ },
2252
+ {
2253
+ "entropy": 0.5478847596794367,
2254
+ "epoch": 2.8296428174029153,
2255
+ "grad_norm": 1.0625,
2256
+ "learning_rate": 1.0451851851851853e-05,
2257
+ "loss": 0.662,
2258
+ "mean_token_accuracy": 0.8392819732427597,
2259
+ "num_tokens": 42561534.0,
2260
+ "step": 1590
2261
+ },
2262
+ {
2263
+ "entropy": 0.572634200938046,
2264
+ "epoch": 2.8474463113386,
2265
+ "grad_norm": 1.1640625,
2266
+ "learning_rate": 1.0377777777777778e-05,
2267
+ "loss": 0.6931,
2268
+ "mean_token_accuracy": 0.8341519974172116,
2269
+ "num_tokens": 42834266.0,
2270
+ "step": 1600
2271
+ },
2272
+ {
2273
+ "epoch": 2.8474463113386,
2274
+ "eval_biology_entropy": 1.2264355325698852,
2275
+ "eval_biology_loss": 1.7825937271118164,
2276
+ "eval_biology_mean_token_accuracy": 0.6504359455108643,
2277
+ "eval_biology_num_tokens": 42834266.0,
2278
+ "eval_biology_runtime": 39.3682,
2279
+ "eval_biology_samples_per_second": 12.701,
2280
+ "eval_biology_steps_per_second": 3.175,
2281
+ "step": 1600
2282
+ },
2283
+ {
2284
+ "epoch": 2.8474463113386,
2285
+ "eval_chemistry_entropy": 0.5885767588615417,
2286
+ "eval_chemistry_loss": 0.7991457581520081,
2287
+ "eval_chemistry_mean_token_accuracy": 0.8166323800086975,
2288
+ "eval_chemistry_num_tokens": 42834266.0,
2289
+ "eval_chemistry_runtime": 49.0263,
2290
+ "eval_chemistry_samples_per_second": 10.199,
2291
+ "eval_chemistry_steps_per_second": 2.55,
2292
+ "step": 1600
2293
+ },
2294
+ {
2295
+ "epoch": 2.8474463113386,
2296
+ "eval_math_entropy": 0.5984120781421661,
2297
+ "eval_math_loss": 1.0110392570495605,
2298
+ "eval_math_mean_token_accuracy": 0.7872469811439514,
2299
+ "eval_math_num_tokens": 42834266.0,
2300
+ "eval_math_runtime": 50.4589,
2301
+ "eval_math_samples_per_second": 9.909,
2302
+ "eval_math_steps_per_second": 2.477,
2303
+ "step": 1600
2304
+ },
2305
+ {
2306
+ "epoch": 2.8474463113386,
2307
+ "eval_physics_entropy": 0.6037993173599243,
2308
+ "eval_physics_loss": 0.8166781067848206,
2309
+ "eval_physics_mean_token_accuracy": 0.8091938343048096,
2310
+ "eval_physics_num_tokens": 42834266.0,
2311
+ "eval_physics_runtime": 58.0039,
2312
+ "eval_physics_samples_per_second": 8.62,
2313
+ "eval_physics_steps_per_second": 2.155,
2314
+ "step": 1600
2315
+ },
2316
+ {
2317
+ "entropy": 0.5951185580343008,
2318
+ "epoch": 2.865249805274285,
2319
+ "grad_norm": 1.2890625,
2320
+ "learning_rate": 1.0303703703703705e-05,
2321
+ "loss": 0.7092,
2322
+ "mean_token_accuracy": 0.8289202846586704,
2323
+ "num_tokens": 43100513.0,
2324
+ "step": 1610
2325
+ },
2326
+ {
2327
+ "entropy": 0.5747599832713604,
2328
+ "epoch": 2.88305329920997,
2329
+ "grad_norm": 1.2109375,
2330
+ "learning_rate": 1.0229629629629631e-05,
2331
+ "loss": 0.6868,
2332
+ "mean_token_accuracy": 0.8322439193725586,
2333
+ "num_tokens": 43375632.0,
2334
+ "step": 1620
2335
+ },
2336
+ {
2337
+ "entropy": 0.5638955064117909,
2338
+ "epoch": 2.900856793145655,
2339
+ "grad_norm": 1.1953125,
2340
+ "learning_rate": 1.0155555555555556e-05,
2341
+ "loss": 0.6846,
2342
+ "mean_token_accuracy": 0.8354361861944198,
2343
+ "num_tokens": 43644341.0,
2344
+ "step": 1630
2345
+ },
2346
+ {
2347
+ "entropy": 0.5602986583486199,
2348
+ "epoch": 2.9186602870813396,
2349
+ "grad_norm": 1.2109375,
2350
+ "learning_rate": 1.0081481481481484e-05,
2351
+ "loss": 0.672,
2352
+ "mean_token_accuracy": 0.8361254766583442,
2353
+ "num_tokens": 43917580.0,
2354
+ "step": 1640
2355
+ },
2356
+ {
2357
+ "entropy": 0.564799927175045,
2358
+ "epoch": 2.9364637810170247,
2359
+ "grad_norm": 1.1796875,
2360
+ "learning_rate": 1.0007407407407407e-05,
2361
+ "loss": 0.6892,
2362
+ "mean_token_accuracy": 0.8363475266844034,
2363
+ "num_tokens": 44177325.0,
2364
+ "step": 1650
2365
+ },
2366
+ {
2367
+ "entropy": 0.5784864582121372,
2368
+ "epoch": 2.9542672749527092,
2369
+ "grad_norm": 1.25,
2370
+ "learning_rate": 9.933333333333334e-06,
2371
+ "loss": 0.6976,
2372
+ "mean_token_accuracy": 0.8306768286973238,
2373
+ "num_tokens": 44442947.0,
2374
+ "step": 1660
2375
+ },
2376
+ {
2377
+ "entropy": 0.5877037810161709,
2378
+ "epoch": 2.9720707688883943,
2379
+ "grad_norm": 1.2890625,
2380
+ "learning_rate": 9.85925925925926e-06,
2381
+ "loss": 0.7063,
2382
+ "mean_token_accuracy": 0.8293527953326703,
2383
+ "num_tokens": 44700601.0,
2384
+ "step": 1670
2385
+ },
2386
+ {
2387
+ "entropy": 0.5639561323449016,
2388
+ "epoch": 2.9898742628240793,
2389
+ "grad_norm": 1.1796875,
2390
+ "learning_rate": 9.785185185185187e-06,
2391
+ "loss": 0.6834,
2392
+ "mean_token_accuracy": 0.8358524903655052,
2393
+ "num_tokens": 44971479.0,
2394
+ "step": 1680
2395
+ },
2396
+ {
2397
+ "entropy": 0.5595516356729692,
2398
+ "epoch": 3.007121397574274,
2399
+ "grad_norm": 1.1171875,
2400
+ "learning_rate": 9.711111111111111e-06,
2401
+ "loss": 0.6598,
2402
+ "mean_token_accuracy": 0.8396484417300071,
2403
+ "num_tokens": 45231796.0,
2404
+ "step": 1690
2405
+ },
2406
+ {
2407
+ "entropy": 0.5708899799734354,
2408
+ "epoch": 3.0249248915099587,
2409
+ "grad_norm": 1.3125,
2410
+ "learning_rate": 9.637037037037038e-06,
2411
+ "loss": 0.6911,
2412
+ "mean_token_accuracy": 0.8313625615090132,
2413
+ "num_tokens": 45500317.0,
2414
+ "step": 1700
2415
+ },
2416
+ {
2417
+ "epoch": 3.0249248915099587,
2418
+ "eval_biology_entropy": 1.1691610884666443,
2419
+ "eval_biology_loss": 1.8092824220657349,
2420
+ "eval_biology_mean_token_accuracy": 0.6491630167961121,
2421
+ "eval_biology_num_tokens": 45500317.0,
2422
+ "eval_biology_runtime": 39.4629,
2423
+ "eval_biology_samples_per_second": 12.67,
2424
+ "eval_biology_steps_per_second": 3.168,
2425
+ "step": 1700
2426
+ },
2427
+ {
2428
+ "epoch": 3.0249248915099587,
2429
+ "eval_chemistry_entropy": 0.5587203588485717,
2430
+ "eval_chemistry_loss": 0.8038747310638428,
2431
+ "eval_chemistry_mean_token_accuracy": 0.8160518984794617,
2432
+ "eval_chemistry_num_tokens": 45500317.0,
2433
+ "eval_chemistry_runtime": 49.1073,
2434
+ "eval_chemistry_samples_per_second": 10.182,
2435
+ "eval_chemistry_steps_per_second": 2.545,
2436
+ "step": 1700
2437
+ },
2438
+ {
2439
+ "epoch": 3.0249248915099587,
2440
+ "eval_math_entropy": 0.5764329619407654,
2441
+ "eval_math_loss": 1.0242400169372559,
2442
+ "eval_math_mean_token_accuracy": 0.7866667547225952,
2443
+ "eval_math_num_tokens": 45500317.0,
2444
+ "eval_math_runtime": 50.5138,
2445
+ "eval_math_samples_per_second": 9.898,
2446
+ "eval_math_steps_per_second": 2.475,
2447
+ "step": 1700
2448
+ },
2449
+ {
2450
+ "epoch": 3.0249248915099587,
2451
+ "eval_physics_entropy": 0.5760543973445892,
2452
+ "eval_physics_loss": 0.8250848650932312,
2453
+ "eval_physics_mean_token_accuracy": 0.808276960849762,
2454
+ "eval_physics_num_tokens": 45500317.0,
2455
+ "eval_physics_runtime": 58.0509,
2456
+ "eval_physics_samples_per_second": 8.613,
2457
+ "eval_physics_steps_per_second": 2.153,
2458
+ "step": 1700
2459
+ },
2460
+ {
2461
+ "entropy": 0.5444689901545644,
2462
+ "epoch": 3.0427283854456437,
2463
+ "grad_norm": 1.2265625,
2464
+ "learning_rate": 9.562962962962965e-06,
2465
+ "loss": 0.654,
2466
+ "mean_token_accuracy": 0.8422593709081412,
2467
+ "num_tokens": 45762680.0,
2468
+ "step": 1710
2469
+ },
2470
+ {
2471
+ "entropy": 0.5309807119891048,
2472
+ "epoch": 3.0605318793813288,
2473
+ "grad_norm": 1.4296875,
2474
+ "learning_rate": 9.48888888888889e-06,
2475
+ "loss": 0.6511,
2476
+ "mean_token_accuracy": 0.8431796990334988,
2477
+ "num_tokens": 46029923.0,
2478
+ "step": 1720
2479
+ },
2480
+ {
2481
+ "entropy": 0.5383216420188546,
2482
+ "epoch": 3.0783353733170133,
2483
+ "grad_norm": 1.1875,
2484
+ "learning_rate": 9.414814814814816e-06,
2485
+ "loss": 0.6527,
2486
+ "mean_token_accuracy": 0.8410400524735451,
2487
+ "num_tokens": 46305156.0,
2488
+ "step": 1730
2489
+ },
2490
+ {
2491
+ "entropy": 0.5262485228478908,
2492
+ "epoch": 3.0961388672526984,
2493
+ "grad_norm": 1.3046875,
2494
+ "learning_rate": 9.34074074074074e-06,
2495
+ "loss": 0.6407,
2496
+ "mean_token_accuracy": 0.8441985324025154,
2497
+ "num_tokens": 46582874.0,
2498
+ "step": 1740
2499
+ },
2500
+ {
2501
+ "entropy": 0.5557232910767198,
2502
+ "epoch": 3.1139423611883834,
2503
+ "grad_norm": 1.4609375,
2504
+ "learning_rate": 9.266666666666667e-06,
2505
+ "loss": 0.6726,
2506
+ "mean_token_accuracy": 0.8360112313181162,
2507
+ "num_tokens": 46850175.0,
2508
+ "step": 1750
2509
+ },
2510
+ {
2511
+ "entropy": 0.532409735955298,
2512
+ "epoch": 3.131745855124068,
2513
+ "grad_norm": 1.234375,
2514
+ "learning_rate": 9.192592592592594e-06,
2515
+ "loss": 0.6465,
2516
+ "mean_token_accuracy": 0.8444639045745135,
2517
+ "num_tokens": 47125899.0,
2518
+ "step": 1760
2519
+ },
2520
+ {
2521
+ "entropy": 0.5422864174470305,
2522
+ "epoch": 3.149549349059753,
2523
+ "grad_norm": 1.359375,
2524
+ "learning_rate": 9.118518518518518e-06,
2525
+ "loss": 0.6651,
2526
+ "mean_token_accuracy": 0.8404106464236974,
2527
+ "num_tokens": 47390194.0,
2528
+ "step": 1770
2529
+ },
2530
+ {
2531
+ "entropy": 0.54858369352296,
2532
+ "epoch": 3.167352842995438,
2533
+ "grad_norm": 1.234375,
2534
+ "learning_rate": 9.044444444444445e-06,
2535
+ "loss": 0.6649,
2536
+ "mean_token_accuracy": 0.8392045438289643,
2537
+ "num_tokens": 47654784.0,
2538
+ "step": 1780
2539
+ },
2540
+ {
2541
+ "entropy": 0.5342581951990724,
2542
+ "epoch": 3.1851563369311227,
2543
+ "grad_norm": 1.328125,
2544
+ "learning_rate": 8.970370370370372e-06,
2545
+ "loss": 0.6588,
2546
+ "mean_token_accuracy": 0.8428513869643212,
2547
+ "num_tokens": 47919400.0,
2548
+ "step": 1790
2549
+ },
2550
+ {
2551
+ "entropy": 0.5475335421040655,
2552
+ "epoch": 3.2029598308668077,
2553
+ "grad_norm": 1.34375,
2554
+ "learning_rate": 8.896296296296298e-06,
2555
+ "loss": 0.6658,
2556
+ "mean_token_accuracy": 0.8400416314601898,
2557
+ "num_tokens": 48187796.0,
2558
+ "step": 1800
2559
+ },
2560
+ {
2561
+ "epoch": 3.2029598308668077,
2562
+ "eval_biology_entropy": 1.1653422470092774,
2563
+ "eval_biology_loss": 1.8214138746261597,
2564
+ "eval_biology_mean_token_accuracy": 0.6483545289039612,
2565
+ "eval_biology_num_tokens": 48187796.0,
2566
+ "eval_biology_runtime": 39.3568,
2567
+ "eval_biology_samples_per_second": 12.704,
2568
+ "eval_biology_steps_per_second": 3.176,
2569
+ "step": 1800
2570
+ },
2571
+ {
2572
+ "epoch": 3.2029598308668077,
2573
+ "eval_chemistry_entropy": 0.5646139283180237,
2574
+ "eval_chemistry_loss": 0.8045586943626404,
2575
+ "eval_chemistry_mean_token_accuracy": 0.8160006055831909,
2576
+ "eval_chemistry_num_tokens": 48187796.0,
2577
+ "eval_chemistry_runtime": 48.9899,
2578
+ "eval_chemistry_samples_per_second": 10.206,
2579
+ "eval_chemistry_steps_per_second": 2.552,
2580
+ "step": 1800
2581
+ },
2582
+ {
2583
+ "epoch": 3.2029598308668077,
2584
+ "eval_math_entropy": 0.5786230795383454,
2585
+ "eval_math_loss": 1.0251545906066895,
2586
+ "eval_math_mean_token_accuracy": 0.7865431332588195,
2587
+ "eval_math_num_tokens": 48187796.0,
2588
+ "eval_math_runtime": 50.3994,
2589
+ "eval_math_samples_per_second": 9.921,
2590
+ "eval_math_steps_per_second": 2.48,
2591
+ "step": 1800
2592
+ },
2593
+ {
2594
+ "epoch": 3.2029598308668077,
2595
+ "eval_physics_entropy": 0.5797749905586242,
2596
+ "eval_physics_loss": 0.8271687030792236,
2597
+ "eval_physics_mean_token_accuracy": 0.8078161134719849,
2598
+ "eval_physics_num_tokens": 48187796.0,
2599
+ "eval_physics_runtime": 58.028,
2600
+ "eval_physics_samples_per_second": 8.617,
2601
+ "eval_physics_steps_per_second": 2.154,
2602
+ "step": 1800
2603
+ },
2604
+ {
2605
+ "entropy": 0.5395594524219632,
2606
+ "epoch": 3.2207633248024923,
2607
+ "grad_norm": 1.2421875,
2608
+ "learning_rate": 8.822222222222223e-06,
2609
+ "loss": 0.6567,
2610
+ "mean_token_accuracy": 0.841542175412178,
2611
+ "num_tokens": 48457428.0,
2612
+ "step": 1810
2613
+ },
2614
+ {
2615
+ "entropy": 0.5826782539486886,
2616
+ "epoch": 3.2385668187381773,
2617
+ "grad_norm": 1.34375,
2618
+ "learning_rate": 8.74814814814815e-06,
2619
+ "loss": 0.6937,
2620
+ "mean_token_accuracy": 0.8312644015997648,
2621
+ "num_tokens": 48716417.0,
2622
+ "step": 1820
2623
+ },
2624
+ {
2625
+ "entropy": 0.5456481980159879,
2626
+ "epoch": 3.2563703126738623,
2627
+ "grad_norm": 1.28125,
2628
+ "learning_rate": 8.674074074074074e-06,
2629
+ "loss": 0.6639,
2630
+ "mean_token_accuracy": 0.8407398212701083,
2631
+ "num_tokens": 48977306.0,
2632
+ "step": 1830
2633
+ },
2634
+ {
2635
+ "entropy": 0.5435102425515652,
2636
+ "epoch": 3.274173806609547,
2637
+ "grad_norm": 1.1640625,
2638
+ "learning_rate": 8.6e-06,
2639
+ "loss": 0.657,
2640
+ "mean_token_accuracy": 0.8410529471933842,
2641
+ "num_tokens": 49249667.0,
2642
+ "step": 1840
2643
+ },
2644
+ {
2645
+ "entropy": 0.5419310368597507,
2646
+ "epoch": 3.291977300545232,
2647
+ "grad_norm": 1.2265625,
2648
+ "learning_rate": 8.525925925925927e-06,
2649
+ "loss": 0.6545,
2650
+ "mean_token_accuracy": 0.8413508605211973,
2651
+ "num_tokens": 49520900.0,
2652
+ "step": 1850
2653
+ },
2654
+ {
2655
+ "entropy": 0.549009719118476,
2656
+ "epoch": 3.309780794480917,
2657
+ "grad_norm": 1.296875,
2658
+ "learning_rate": 8.451851851851852e-06,
2659
+ "loss": 0.6708,
2660
+ "mean_token_accuracy": 0.8386994738131761,
2661
+ "num_tokens": 49786411.0,
2662
+ "step": 1860
2663
+ },
2664
+ {
2665
+ "entropy": 0.542225575260818,
2666
+ "epoch": 3.3275842884166016,
2667
+ "grad_norm": 1.2578125,
2668
+ "learning_rate": 8.377777777777779e-06,
2669
+ "loss": 0.6497,
2670
+ "mean_token_accuracy": 0.8425345428287982,
2671
+ "num_tokens": 50056207.0,
2672
+ "step": 1870
2673
+ },
2674
+ {
2675
+ "entropy": 0.5501431416720152,
2676
+ "epoch": 3.3453877823522866,
2677
+ "grad_norm": 1.2265625,
2678
+ "learning_rate": 8.303703703703705e-06,
2679
+ "loss": 0.6645,
2680
+ "mean_token_accuracy": 0.8394666783511638,
2681
+ "num_tokens": 50330876.0,
2682
+ "step": 1880
2683
+ },
2684
+ {
2685
+ "entropy": 0.5492377877235413,
2686
+ "epoch": 3.3631912762879717,
2687
+ "grad_norm": 1.421875,
2688
+ "learning_rate": 8.229629629629632e-06,
2689
+ "loss": 0.6658,
2690
+ "mean_token_accuracy": 0.8383394341915846,
2691
+ "num_tokens": 50602004.0,
2692
+ "step": 1890
2693
+ },
2694
+ {
2695
+ "entropy": 0.5501461183652282,
2696
+ "epoch": 3.3809947702236562,
2697
+ "grad_norm": 1.265625,
2698
+ "learning_rate": 8.155555555555556e-06,
2699
+ "loss": 0.6634,
2700
+ "mean_token_accuracy": 0.8376425668597222,
2701
+ "num_tokens": 50873444.0,
2702
+ "step": 1900
2703
+ },
2704
+ {
2705
+ "epoch": 3.3809947702236562,
2706
+ "eval_biology_entropy": 1.1502807393074035,
2707
+ "eval_biology_loss": 1.829302191734314,
2708
+ "eval_biology_mean_token_accuracy": 0.647935733795166,
2709
+ "eval_biology_num_tokens": 50873444.0,
2710
+ "eval_biology_runtime": 39.2037,
2711
+ "eval_biology_samples_per_second": 12.754,
2712
+ "eval_biology_steps_per_second": 3.188,
2713
+ "step": 1900
2714
+ },
2715
+ {
2716
+ "epoch": 3.3809947702236562,
2717
+ "eval_chemistry_entropy": 0.5574937677383422,
2718
+ "eval_chemistry_loss": 0.8056073188781738,
2719
+ "eval_chemistry_mean_token_accuracy": 0.8162664136886597,
2720
+ "eval_chemistry_num_tokens": 50873444.0,
2721
+ "eval_chemistry_runtime": 48.8236,
2722
+ "eval_chemistry_samples_per_second": 10.241,
2723
+ "eval_chemistry_steps_per_second": 2.56,
2724
+ "step": 1900
2725
+ },
2726
+ {
2727
+ "epoch": 3.3809947702236562,
2728
+ "eval_math_entropy": 0.5737685420513153,
2729
+ "eval_math_loss": 1.0286157131195068,
2730
+ "eval_math_mean_token_accuracy": 0.7861198062896728,
2731
+ "eval_math_num_tokens": 50873444.0,
2732
+ "eval_math_runtime": 50.2275,
2733
+ "eval_math_samples_per_second": 9.955,
2734
+ "eval_math_steps_per_second": 2.489,
2735
+ "step": 1900
2736
+ },
2737
+ {
2738
+ "epoch": 3.3809947702236562,
2739
+ "eval_physics_entropy": 0.5730379042625428,
2740
+ "eval_physics_loss": 0.8303305506706238,
2741
+ "eval_physics_mean_token_accuracy": 0.8077737083435058,
2742
+ "eval_physics_num_tokens": 50873444.0,
2743
+ "eval_physics_runtime": 57.7614,
2744
+ "eval_physics_samples_per_second": 8.656,
2745
+ "eval_physics_steps_per_second": 2.164,
2746
+ "step": 1900
2747
+ },
2748
+ {
2749
+ "entropy": 0.5610906140878796,
2750
+ "epoch": 3.3987982641593413,
2751
+ "grad_norm": 1.3515625,
2752
+ "learning_rate": 8.081481481481483e-06,
2753
+ "loss": 0.6761,
2754
+ "mean_token_accuracy": 0.8352380134165287,
2755
+ "num_tokens": 51141077.0,
2756
+ "step": 1910
2757
+ },
2758
+ {
2759
+ "entropy": 0.5438909037038684,
2760
+ "epoch": 3.4166017580950263,
2761
+ "grad_norm": 1.40625,
2762
+ "learning_rate": 8.007407407407408e-06,
2763
+ "loss": 0.6611,
2764
+ "mean_token_accuracy": 0.8404773697257042,
2765
+ "num_tokens": 51406483.0,
2766
+ "step": 1920
2767
+ },
2768
+ {
2769
+ "entropy": 0.5512320777401328,
2770
+ "epoch": 3.434405252030711,
2771
+ "grad_norm": 1.359375,
2772
+ "learning_rate": 7.933333333333334e-06,
2773
+ "loss": 0.6666,
2774
+ "mean_token_accuracy": 0.8385514669120312,
2775
+ "num_tokens": 51668458.0,
2776
+ "step": 1930
2777
+ },
2778
+ {
2779
+ "entropy": 0.5570000663399697,
2780
+ "epoch": 3.452208745966396,
2781
+ "grad_norm": 1.3359375,
2782
+ "learning_rate": 7.859259259259259e-06,
2783
+ "loss": 0.6807,
2784
+ "mean_token_accuracy": 0.8363874733448029,
2785
+ "num_tokens": 51928199.0,
2786
+ "step": 1940
2787
+ },
2788
+ {
2789
+ "entropy": 0.5494465444236993,
2790
+ "epoch": 3.470012239902081,
2791
+ "grad_norm": 1.2578125,
2792
+ "learning_rate": 7.785185185185185e-06,
2793
+ "loss": 0.6571,
2794
+ "mean_token_accuracy": 0.8388365376740694,
2795
+ "num_tokens": 52199244.0,
2796
+ "step": 1950
2797
+ },
2798
+ {
2799
+ "entropy": 0.5377742035314441,
2800
+ "epoch": 3.4878157338377656,
2801
+ "grad_norm": 1.3515625,
2802
+ "learning_rate": 7.711111111111112e-06,
2803
+ "loss": 0.6513,
2804
+ "mean_token_accuracy": 0.8415070977061987,
2805
+ "num_tokens": 52473476.0,
2806
+ "step": 1960
2807
+ },
2808
+ {
2809
+ "entropy": 0.5498209903016686,
2810
+ "epoch": 3.5056192277734506,
2811
+ "grad_norm": 1.1484375,
2812
+ "learning_rate": 7.637037037037037e-06,
2813
+ "loss": 0.6659,
2814
+ "mean_token_accuracy": 0.8391986701637506,
2815
+ "num_tokens": 52743275.0,
2816
+ "step": 1970
2817
+ },
2818
+ {
2819
+ "entropy": 0.5453953156247735,
2820
+ "epoch": 3.523422721709135,
2821
+ "grad_norm": 1.2734375,
2822
+ "learning_rate": 7.562962962962963e-06,
2823
+ "loss": 0.6549,
2824
+ "mean_token_accuracy": 0.8408893909305334,
2825
+ "num_tokens": 53014827.0,
2826
+ "step": 1980
2827
+ },
2828
+ {
2829
+ "entropy": 0.5506702629849315,
2830
+ "epoch": 3.54122621564482,
2831
+ "grad_norm": 1.390625,
2832
+ "learning_rate": 7.48888888888889e-06,
2833
+ "loss": 0.6686,
2834
+ "mean_token_accuracy": 0.83898391649127,
2835
+ "num_tokens": 53285577.0,
2836
+ "step": 1990
2837
+ },
2838
+ {
2839
+ "entropy": 0.5308271149173379,
2840
+ "epoch": 3.5590297095805052,
2841
+ "grad_norm": 1.3046875,
2842
+ "learning_rate": 7.4148148148148155e-06,
2843
+ "loss": 0.6485,
2844
+ "mean_token_accuracy": 0.8444319948554039,
2845
+ "num_tokens": 53553391.0,
2846
+ "step": 2000
2847
+ },
2848
+ {
2849
+ "epoch": 3.5590297095805052,
2850
+ "eval_biology_entropy": 1.1442560811042786,
2851
+ "eval_biology_loss": 1.8303390741348267,
2852
+ "eval_biology_mean_token_accuracy": 0.6481823086738586,
2853
+ "eval_biology_num_tokens": 53553391.0,
2854
+ "eval_biology_runtime": 39.2289,
2855
+ "eval_biology_samples_per_second": 12.746,
2856
+ "eval_biology_steps_per_second": 3.186,
2857
+ "step": 2000
2858
+ },
2859
+ {
2860
+ "epoch": 3.5590297095805052,
2861
+ "eval_chemistry_entropy": 0.5585863585472107,
2862
+ "eval_chemistry_loss": 0.8046336770057678,
2863
+ "eval_chemistry_mean_token_accuracy": 0.8162187285423279,
2864
+ "eval_chemistry_num_tokens": 53553391.0,
2865
+ "eval_chemistry_runtime": 48.6434,
2866
+ "eval_chemistry_samples_per_second": 10.279,
2867
+ "eval_chemistry_steps_per_second": 2.57,
2868
+ "step": 2000
2869
+ },
2870
+ {
2871
+ "epoch": 3.5590297095805052,
2872
+ "eval_math_entropy": 0.5739703712463379,
2873
+ "eval_math_loss": 1.0285587310791016,
2874
+ "eval_math_mean_token_accuracy": 0.7863604693412781,
2875
+ "eval_math_num_tokens": 53553391.0,
2876
+ "eval_math_runtime": 50.3001,
2877
+ "eval_math_samples_per_second": 9.94,
2878
+ "eval_math_steps_per_second": 2.485,
2879
+ "step": 2000
2880
+ },
2881
+ {
2882
+ "epoch": 3.5590297095805052,
2883
+ "eval_physics_entropy": 0.5745766685009003,
2884
+ "eval_physics_loss": 0.8294666409492493,
2885
+ "eval_physics_mean_token_accuracy": 0.8078997702598572,
2886
+ "eval_physics_num_tokens": 53553391.0,
2887
+ "eval_physics_runtime": 57.9219,
2888
+ "eval_physics_samples_per_second": 8.632,
2889
+ "eval_physics_steps_per_second": 2.158,
2890
+ "step": 2000
2891
+ }
2892
+ ],
2893
+ "logging_steps": 10,
2894
+ "max_steps": 3000,
2895
+ "num_input_tokens_seen": 0,
2896
+ "num_train_epochs": 6,
2897
+ "save_steps": 500,
2898
+ "stateful_callbacks": {
2899
+ "TrainerControl": {
2900
+ "args": {
2901
+ "should_epoch_stop": false,
2902
+ "should_evaluate": false,
2903
+ "should_log": false,
2904
+ "should_save": true,
2905
+ "should_training_stop": false
2906
+ },
2907
+ "attributes": {}
2908
+ }
2909
+ },
2910
+ "total_flos": 4.16464083921255e+18,
2911
+ "train_batch_size": 4,
2912
+ "trial_name": null,
2913
+ "trial_params": null
2914
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08d2d928aac91b1f83c8ccc587e6d6e8b9660ab4fc2471ca5cda7a2ea63f5fce
3
+ size 6417
checkpoint-2500/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
checkpoint-2500/config.json ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma2ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_logit_softcapping": 50.0,
8
+ "bos_token_id": 2,
9
+ "cache_implementation": "hybrid",
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 1,
12
+ "final_logit_softcapping": 30.0,
13
+ "head_dim": 256,
14
+ "hidden_act": "gelu_pytorch_tanh",
15
+ "hidden_activation": "gelu_pytorch_tanh",
16
+ "hidden_size": 3584,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 14336,
19
+ "layer_types": [
20
+ "sliding_attention",
21
+ "full_attention",
22
+ "sliding_attention",
23
+ "full_attention",
24
+ "sliding_attention",
25
+ "full_attention",
26
+ "sliding_attention",
27
+ "full_attention",
28
+ "sliding_attention",
29
+ "full_attention",
30
+ "sliding_attention",
31
+ "full_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "full_attention",
36
+ "sliding_attention",
37
+ "full_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "full_attention",
42
+ "sliding_attention",
43
+ "full_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "full_attention",
48
+ "sliding_attention",
49
+ "full_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "full_attention",
54
+ "sliding_attention",
55
+ "full_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "full_attention",
60
+ "sliding_attention",
61
+ "full_attention"
62
+ ],
63
+ "max_position_embeddings": 8192,
64
+ "model_type": "gemma2",
65
+ "num_attention_heads": 16,
66
+ "num_hidden_layers": 42,
67
+ "num_key_value_heads": 8,
68
+ "pad_token_id": 0,
69
+ "query_pre_attn_scalar": 256,
70
+ "rms_norm_eps": 1e-06,
71
+ "rope_theta": 10000.0,
72
+ "sliding_window": 4096,
73
+ "sliding_window_size": 4096,
74
+ "transformers_version": "4.56.1",
75
+ "use_cache": true,
76
+ "vocab_size": 256000
77
+ }
checkpoint-2500/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": [
5
+ 1
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.56.1"
9
+ }
checkpoint-2500/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0d4eb4fcbddfe01b0dc7a58386a3980826ededaf0ecd67d1ef38995b89615ba
3
+ size 4903351912
checkpoint-2500/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:712a589c333f49f7b6f3870838a9e0ab4b3c0260abd5130e8c54316e6c99640b
3
+ size 4947570872
checkpoint-2500/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6758cea804f7df2532c0ab61f3187d48c330cb12dcb5f228e42899deb6066e51
3
+ size 4962221464
checkpoint-2500/model.safetensors.index.json ADDED
@@ -0,0 +1,472 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 9241705984,
4
+ "total_size": 18483411968
5
+ },
6
+ "weight_map": {
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.20.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.21.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
273
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.32.input_layernorm.weight": "model-00004-of-00004.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
299
+ "model.layers.32.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
300
+ "model.layers.32.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.33.input_layernorm.weight": "model-00004-of-00004.safetensors",
306
+ "model.layers.33.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
307
+ "model.layers.33.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
308
+ "model.layers.33.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
309
+ "model.layers.33.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
310
+ "model.layers.33.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
311
+ "model.layers.33.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
315
+ "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
316
+ "model.layers.34.input_layernorm.weight": "model-00004-of-00004.safetensors",
317
+ "model.layers.34.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
318
+ "model.layers.34.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
319
+ "model.layers.34.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
320
+ "model.layers.34.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
321
+ "model.layers.34.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
322
+ "model.layers.34.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
326
+ "model.layers.34.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
327
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
328
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
338
+ "model.layers.36.input_layernorm.weight": "model-00004-of-00004.safetensors",
339
+ "model.layers.36.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
340
+ "model.layers.36.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
341
+ "model.layers.36.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
342
+ "model.layers.36.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
343
+ "model.layers.36.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
344
+ "model.layers.36.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
345
+ "model.layers.36.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
346
+ "model.layers.36.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
347
+ "model.layers.36.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
348
+ "model.layers.36.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
349
+ "model.layers.37.input_layernorm.weight": "model-00004-of-00004.safetensors",
350
+ "model.layers.37.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
351
+ "model.layers.37.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
352
+ "model.layers.37.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
353
+ "model.layers.37.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
354
+ "model.layers.37.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
355
+ "model.layers.37.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
356
+ "model.layers.37.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
357
+ "model.layers.37.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
358
+ "model.layers.37.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
359
+ "model.layers.37.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
360
+ "model.layers.38.input_layernorm.weight": "model-00004-of-00004.safetensors",
361
+ "model.layers.38.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
362
+ "model.layers.38.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
363
+ "model.layers.38.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
364
+ "model.layers.38.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
365
+ "model.layers.38.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
366
+ "model.layers.38.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
367
+ "model.layers.38.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
368
+ "model.layers.38.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
369
+ "model.layers.38.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
370
+ "model.layers.38.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
371
+ "model.layers.39.input_layernorm.weight": "model-00004-of-00004.safetensors",
372
+ "model.layers.39.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
373
+ "model.layers.39.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
374
+ "model.layers.39.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
375
+ "model.layers.39.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
376
+ "model.layers.39.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
377
+ "model.layers.39.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
378
+ "model.layers.39.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
379
+ "model.layers.39.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
380
+ "model.layers.39.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
381
+ "model.layers.39.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
382
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.40.input_layernorm.weight": "model-00004-of-00004.safetensors",
394
+ "model.layers.40.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
395
+ "model.layers.40.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
396
+ "model.layers.40.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
397
+ "model.layers.40.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
398
+ "model.layers.40.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
399
+ "model.layers.40.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
400
+ "model.layers.40.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
401
+ "model.layers.40.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
402
+ "model.layers.40.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
403
+ "model.layers.40.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
404
+ "model.layers.41.input_layernorm.weight": "model-00004-of-00004.safetensors",
405
+ "model.layers.41.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
406
+ "model.layers.41.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
407
+ "model.layers.41.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
408
+ "model.layers.41.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
409
+ "model.layers.41.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
410
+ "model.layers.41.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
411
+ "model.layers.41.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
412
+ "model.layers.41.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
413
+ "model.layers.41.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
414
+ "model.layers.41.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
415
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
416
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
417
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
418
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
419
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
420
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
421
+ "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
422
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
423
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
424
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
425
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
426
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
427
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
428
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
429
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
430
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
431
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
432
+ "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
433
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
434
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
435
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
436
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
437
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
438
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
439
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
440
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
441
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
442
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
443
+ "model.layers.7.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
444
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
445
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
446
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
448
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
449
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
450
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
451
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
452
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
453
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
454
+ "model.layers.8.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
455
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
456
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
457
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
458
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
459
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
460
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
461
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
462
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
463
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
464
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
465
+ "model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
466
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
467
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
468
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
469
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
470
+ "model.norm.weight": "model-00004-of-00004.safetensors"
471
+ }
472
+ }
checkpoint-2500/special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
checkpoint-2500/tokenizer_config.json ADDED
@@ -0,0 +1,2013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "4": {
38
+ "content": "<mask>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "5": {
46
+ "content": "<2mass>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "6": {
54
+ "content": "[@BOS@]",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "7": {
62
+ "content": "<unused0>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "8": {
70
+ "content": "<unused1>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "9": {
78
+ "content": "<unused2>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "10": {
86
+ "content": "<unused3>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "11": {
94
+ "content": "<unused4>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "12": {
102
+ "content": "<unused5>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "13": {
110
+ "content": "<unused6>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": false
116
+ },
117
+ "14": {
118
+ "content": "<unused7>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "15": {
126
+ "content": "<unused8>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "16": {
134
+ "content": "<unused9>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "17": {
142
+ "content": "<unused10>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "18": {
150
+ "content": "<unused11>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "19": {
158
+ "content": "<unused12>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "20": {
166
+ "content": "<unused13>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "21": {
174
+ "content": "<unused14>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "22": {
182
+ "content": "<unused15>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "23": {
190
+ "content": "<unused16>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "24": {
198
+ "content": "<unused17>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "25": {
206
+ "content": "<unused18>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "26": {
214
+ "content": "<unused19>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "27": {
222
+ "content": "<unused20>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "28": {
230
+ "content": "<unused21>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "29": {
238
+ "content": "<unused22>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "30": {
246
+ "content": "<unused23>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "31": {
254
+ "content": "<unused24>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "32": {
262
+ "content": "<unused25>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "33": {
270
+ "content": "<unused26>",
271
+ "lstrip": false,
272
+ "normalized": false,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "34": {
278
+ "content": "<unused27>",
279
+ "lstrip": false,
280
+ "normalized": false,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "35": {
286
+ "content": "<unused28>",
287
+ "lstrip": false,
288
+ "normalized": false,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "36": {
294
+ "content": "<unused29>",
295
+ "lstrip": false,
296
+ "normalized": false,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "37": {
302
+ "content": "<unused30>",
303
+ "lstrip": false,
304
+ "normalized": false,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "38": {
310
+ "content": "<unused31>",
311
+ "lstrip": false,
312
+ "normalized": false,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ },
317
+ "39": {
318
+ "content": "<unused32>",
319
+ "lstrip": false,
320
+ "normalized": false,
321
+ "rstrip": false,
322
+ "single_word": false,
323
+ "special": false
324
+ },
325
+ "40": {
326
+ "content": "<unused33>",
327
+ "lstrip": false,
328
+ "normalized": false,
329
+ "rstrip": false,
330
+ "single_word": false,
331
+ "special": false
332
+ },
333
+ "41": {
334
+ "content": "<unused34>",
335
+ "lstrip": false,
336
+ "normalized": false,
337
+ "rstrip": false,
338
+ "single_word": false,
339
+ "special": false
340
+ },
341
+ "42": {
342
+ "content": "<unused35>",
343
+ "lstrip": false,
344
+ "normalized": false,
345
+ "rstrip": false,
346
+ "single_word": false,
347
+ "special": false
348
+ },
349
+ "43": {
350
+ "content": "<unused36>",
351
+ "lstrip": false,
352
+ "normalized": false,
353
+ "rstrip": false,
354
+ "single_word": false,
355
+ "special": false
356
+ },
357
+ "44": {
358
+ "content": "<unused37>",
359
+ "lstrip": false,
360
+ "normalized": false,
361
+ "rstrip": false,
362
+ "single_word": false,
363
+ "special": false
364
+ },
365
+ "45": {
366
+ "content": "<unused38>",
367
+ "lstrip": false,
368
+ "normalized": false,
369
+ "rstrip": false,
370
+ "single_word": false,
371
+ "special": false
372
+ },
373
+ "46": {
374
+ "content": "<unused39>",
375
+ "lstrip": false,
376
+ "normalized": false,
377
+ "rstrip": false,
378
+ "single_word": false,
379
+ "special": false
380
+ },
381
+ "47": {
382
+ "content": "<unused40>",
383
+ "lstrip": false,
384
+ "normalized": false,
385
+ "rstrip": false,
386
+ "single_word": false,
387
+ "special": false
388
+ },
389
+ "48": {
390
+ "content": "<unused41>",
391
+ "lstrip": false,
392
+ "normalized": false,
393
+ "rstrip": false,
394
+ "single_word": false,
395
+ "special": false
396
+ },
397
+ "49": {
398
+ "content": "<unused42>",
399
+ "lstrip": false,
400
+ "normalized": false,
401
+ "rstrip": false,
402
+ "single_word": false,
403
+ "special": false
404
+ },
405
+ "50": {
406
+ "content": "<unused43>",
407
+ "lstrip": false,
408
+ "normalized": false,
409
+ "rstrip": false,
410
+ "single_word": false,
411
+ "special": false
412
+ },
413
+ "51": {
414
+ "content": "<unused44>",
415
+ "lstrip": false,
416
+ "normalized": false,
417
+ "rstrip": false,
418
+ "single_word": false,
419
+ "special": false
420
+ },
421
+ "52": {
422
+ "content": "<unused45>",
423
+ "lstrip": false,
424
+ "normalized": false,
425
+ "rstrip": false,
426
+ "single_word": false,
427
+ "special": false
428
+ },
429
+ "53": {
430
+ "content": "<unused46>",
431
+ "lstrip": false,
432
+ "normalized": false,
433
+ "rstrip": false,
434
+ "single_word": false,
435
+ "special": false
436
+ },
437
+ "54": {
438
+ "content": "<unused47>",
439
+ "lstrip": false,
440
+ "normalized": false,
441
+ "rstrip": false,
442
+ "single_word": false,
443
+ "special": false
444
+ },
445
+ "55": {
446
+ "content": "<unused48>",
447
+ "lstrip": false,
448
+ "normalized": false,
449
+ "rstrip": false,
450
+ "single_word": false,
451
+ "special": false
452
+ },
453
+ "56": {
454
+ "content": "<unused49>",
455
+ "lstrip": false,
456
+ "normalized": false,
457
+ "rstrip": false,
458
+ "single_word": false,
459
+ "special": false
460
+ },
461
+ "57": {
462
+ "content": "<unused50>",
463
+ "lstrip": false,
464
+ "normalized": false,
465
+ "rstrip": false,
466
+ "single_word": false,
467
+ "special": false
468
+ },
469
+ "58": {
470
+ "content": "<unused51>",
471
+ "lstrip": false,
472
+ "normalized": false,
473
+ "rstrip": false,
474
+ "single_word": false,
475
+ "special": false
476
+ },
477
+ "59": {
478
+ "content": "<unused52>",
479
+ "lstrip": false,
480
+ "normalized": false,
481
+ "rstrip": false,
482
+ "single_word": false,
483
+ "special": false
484
+ },
485
+ "60": {
486
+ "content": "<unused53>",
487
+ "lstrip": false,
488
+ "normalized": false,
489
+ "rstrip": false,
490
+ "single_word": false,
491
+ "special": false
492
+ },
493
+ "61": {
494
+ "content": "<unused54>",
495
+ "lstrip": false,
496
+ "normalized": false,
497
+ "rstrip": false,
498
+ "single_word": false,
499
+ "special": false
500
+ },
501
+ "62": {
502
+ "content": "<unused55>",
503
+ "lstrip": false,
504
+ "normalized": false,
505
+ "rstrip": false,
506
+ "single_word": false,
507
+ "special": false
508
+ },
509
+ "63": {
510
+ "content": "<unused56>",
511
+ "lstrip": false,
512
+ "normalized": false,
513
+ "rstrip": false,
514
+ "single_word": false,
515
+ "special": false
516
+ },
517
+ "64": {
518
+ "content": "<unused57>",
519
+ "lstrip": false,
520
+ "normalized": false,
521
+ "rstrip": false,
522
+ "single_word": false,
523
+ "special": false
524
+ },
525
+ "65": {
526
+ "content": "<unused58>",
527
+ "lstrip": false,
528
+ "normalized": false,
529
+ "rstrip": false,
530
+ "single_word": false,
531
+ "special": false
532
+ },
533
+ "66": {
534
+ "content": "<unused59>",
535
+ "lstrip": false,
536
+ "normalized": false,
537
+ "rstrip": false,
538
+ "single_word": false,
539
+ "special": false
540
+ },
541
+ "67": {
542
+ "content": "<unused60>",
543
+ "lstrip": false,
544
+ "normalized": false,
545
+ "rstrip": false,
546
+ "single_word": false,
547
+ "special": false
548
+ },
549
+ "68": {
550
+ "content": "<unused61>",
551
+ "lstrip": false,
552
+ "normalized": false,
553
+ "rstrip": false,
554
+ "single_word": false,
555
+ "special": false
556
+ },
557
+ "69": {
558
+ "content": "<unused62>",
559
+ "lstrip": false,
560
+ "normalized": false,
561
+ "rstrip": false,
562
+ "single_word": false,
563
+ "special": false
564
+ },
565
+ "70": {
566
+ "content": "<unused63>",
567
+ "lstrip": false,
568
+ "normalized": false,
569
+ "rstrip": false,
570
+ "single_word": false,
571
+ "special": false
572
+ },
573
+ "71": {
574
+ "content": "<unused64>",
575
+ "lstrip": false,
576
+ "normalized": false,
577
+ "rstrip": false,
578
+ "single_word": false,
579
+ "special": false
580
+ },
581
+ "72": {
582
+ "content": "<unused65>",
583
+ "lstrip": false,
584
+ "normalized": false,
585
+ "rstrip": false,
586
+ "single_word": false,
587
+ "special": false
588
+ },
589
+ "73": {
590
+ "content": "<unused66>",
591
+ "lstrip": false,
592
+ "normalized": false,
593
+ "rstrip": false,
594
+ "single_word": false,
595
+ "special": false
596
+ },
597
+ "74": {
598
+ "content": "<unused67>",
599
+ "lstrip": false,
600
+ "normalized": false,
601
+ "rstrip": false,
602
+ "single_word": false,
603
+ "special": false
604
+ },
605
+ "75": {
606
+ "content": "<unused68>",
607
+ "lstrip": false,
608
+ "normalized": false,
609
+ "rstrip": false,
610
+ "single_word": false,
611
+ "special": false
612
+ },
613
+ "76": {
614
+ "content": "<unused69>",
615
+ "lstrip": false,
616
+ "normalized": false,
617
+ "rstrip": false,
618
+ "single_word": false,
619
+ "special": false
620
+ },
621
+ "77": {
622
+ "content": "<unused70>",
623
+ "lstrip": false,
624
+ "normalized": false,
625
+ "rstrip": false,
626
+ "single_word": false,
627
+ "special": false
628
+ },
629
+ "78": {
630
+ "content": "<unused71>",
631
+ "lstrip": false,
632
+ "normalized": false,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": false
636
+ },
637
+ "79": {
638
+ "content": "<unused72>",
639
+ "lstrip": false,
640
+ "normalized": false,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": false
644
+ },
645
+ "80": {
646
+ "content": "<unused73>",
647
+ "lstrip": false,
648
+ "normalized": false,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": false
652
+ },
653
+ "81": {
654
+ "content": "<unused74>",
655
+ "lstrip": false,
656
+ "normalized": false,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": false
660
+ },
661
+ "82": {
662
+ "content": "<unused75>",
663
+ "lstrip": false,
664
+ "normalized": false,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": false
668
+ },
669
+ "83": {
670
+ "content": "<unused76>",
671
+ "lstrip": false,
672
+ "normalized": false,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": false
676
+ },
677
+ "84": {
678
+ "content": "<unused77>",
679
+ "lstrip": false,
680
+ "normalized": false,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": false
684
+ },
685
+ "85": {
686
+ "content": "<unused78>",
687
+ "lstrip": false,
688
+ "normalized": false,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": false
692
+ },
693
+ "86": {
694
+ "content": "<unused79>",
695
+ "lstrip": false,
696
+ "normalized": false,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": false
700
+ },
701
+ "87": {
702
+ "content": "<unused80>",
703
+ "lstrip": false,
704
+ "normalized": false,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": false
708
+ },
709
+ "88": {
710
+ "content": "<unused81>",
711
+ "lstrip": false,
712
+ "normalized": false,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": false
716
+ },
717
+ "89": {
718
+ "content": "<unused82>",
719
+ "lstrip": false,
720
+ "normalized": false,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": false
724
+ },
725
+ "90": {
726
+ "content": "<unused83>",
727
+ "lstrip": false,
728
+ "normalized": false,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": false
732
+ },
733
+ "91": {
734
+ "content": "<unused84>",
735
+ "lstrip": false,
736
+ "normalized": false,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": false
740
+ },
741
+ "92": {
742
+ "content": "<unused85>",
743
+ "lstrip": false,
744
+ "normalized": false,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": false
748
+ },
749
+ "93": {
750
+ "content": "<unused86>",
751
+ "lstrip": false,
752
+ "normalized": false,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": false
756
+ },
757
+ "94": {
758
+ "content": "<unused87>",
759
+ "lstrip": false,
760
+ "normalized": false,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": false
764
+ },
765
+ "95": {
766
+ "content": "<unused88>",
767
+ "lstrip": false,
768
+ "normalized": false,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": false
772
+ },
773
+ "96": {
774
+ "content": "<unused89>",
775
+ "lstrip": false,
776
+ "normalized": false,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": false
780
+ },
781
+ "97": {
782
+ "content": "<unused90>",
783
+ "lstrip": false,
784
+ "normalized": false,
785
+ "rstrip": false,
786
+ "single_word": false,
787
+ "special": false
788
+ },
789
+ "98": {
790
+ "content": "<unused91>",
791
+ "lstrip": false,
792
+ "normalized": false,
793
+ "rstrip": false,
794
+ "single_word": false,
795
+ "special": false
796
+ },
797
+ "99": {
798
+ "content": "<unused92>",
799
+ "lstrip": false,
800
+ "normalized": false,
801
+ "rstrip": false,
802
+ "single_word": false,
803
+ "special": false
804
+ },
805
+ "100": {
806
+ "content": "<unused93>",
807
+ "lstrip": false,
808
+ "normalized": false,
809
+ "rstrip": false,
810
+ "single_word": false,
811
+ "special": false
812
+ },
813
+ "101": {
814
+ "content": "<unused94>",
815
+ "lstrip": false,
816
+ "normalized": false,
817
+ "rstrip": false,
818
+ "single_word": false,
819
+ "special": false
820
+ },
821
+ "102": {
822
+ "content": "<unused95>",
823
+ "lstrip": false,
824
+ "normalized": false,
825
+ "rstrip": false,
826
+ "single_word": false,
827
+ "special": false
828
+ },
829
+ "103": {
830
+ "content": "<unused96>",
831
+ "lstrip": false,
832
+ "normalized": false,
833
+ "rstrip": false,
834
+ "single_word": false,
835
+ "special": false
836
+ },
837
+ "104": {
838
+ "content": "<unused97>",
839
+ "lstrip": false,
840
+ "normalized": false,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
844
+ },
845
+ "105": {
846
+ "content": "<unused98>",
847
+ "lstrip": false,
848
+ "normalized": false,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ },
853
+ "106": {
854
+ "content": "<start_of_turn>",
855
+ "lstrip": false,
856
+ "normalized": false,
857
+ "rstrip": false,
858
+ "single_word": false,
859
+ "special": true
860
+ },
861
+ "107": {
862
+ "content": "<end_of_turn>",
863
+ "lstrip": false,
864
+ "normalized": false,
865
+ "rstrip": false,
866
+ "single_word": false,
867
+ "special": true
868
+ },
869
+ "108": {
870
+ "content": "\n",
871
+ "lstrip": false,
872
+ "normalized": false,
873
+ "rstrip": false,
874
+ "single_word": false,
875
+ "special": false
876
+ },
877
+ "109": {
878
+ "content": "\n\n",
879
+ "lstrip": false,
880
+ "normalized": false,
881
+ "rstrip": false,
882
+ "single_word": false,
883
+ "special": false
884
+ },
885
+ "110": {
886
+ "content": "\n\n\n",
887
+ "lstrip": false,
888
+ "normalized": false,
889
+ "rstrip": false,
890
+ "single_word": false,
891
+ "special": false
892
+ },
893
+ "111": {
894
+ "content": "\n\n\n\n",
895
+ "lstrip": false,
896
+ "normalized": false,
897
+ "rstrip": false,
898
+ "single_word": false,
899
+ "special": false
900
+ },
901
+ "112": {
902
+ "content": "\n\n\n\n\n",
903
+ "lstrip": false,
904
+ "normalized": false,
905
+ "rstrip": false,
906
+ "single_word": false,
907
+ "special": false
908
+ },
909
+ "113": {
910
+ "content": "\n\n\n\n\n\n",
911
+ "lstrip": false,
912
+ "normalized": false,
913
+ "rstrip": false,
914
+ "single_word": false,
915
+ "special": false
916
+ },
917
+ "114": {
918
+ "content": "\n\n\n\n\n\n\n",
919
+ "lstrip": false,
920
+ "normalized": false,
921
+ "rstrip": false,
922
+ "single_word": false,
923
+ "special": false
924
+ },
925
+ "115": {
926
+ "content": "\n\n\n\n\n\n\n\n",
927
+ "lstrip": false,
928
+ "normalized": false,
929
+ "rstrip": false,
930
+ "single_word": false,
931
+ "special": false
932
+ },
933
+ "116": {
934
+ "content": "\n\n\n\n\n\n\n\n\n",
935
+ "lstrip": false,
936
+ "normalized": false,
937
+ "rstrip": false,
938
+ "single_word": false,
939
+ "special": false
940
+ },
941
+ "117": {
942
+ "content": "\n\n\n\n\n\n\n\n\n\n",
943
+ "lstrip": false,
944
+ "normalized": false,
945
+ "rstrip": false,
946
+ "single_word": false,
947
+ "special": false
948
+ },
949
+ "118": {
950
+ "content": "\n\n\n\n\n\n\n\n\n\n\n",
951
+ "lstrip": false,
952
+ "normalized": false,
953
+ "rstrip": false,
954
+ "single_word": false,
955
+ "special": false
956
+ },
957
+ "119": {
958
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
959
+ "lstrip": false,
960
+ "normalized": false,
961
+ "rstrip": false,
962
+ "single_word": false,
963
+ "special": false
964
+ },
965
+ "120": {
966
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
967
+ "lstrip": false,
968
+ "normalized": false,
969
+ "rstrip": false,
970
+ "single_word": false,
971
+ "special": false
972
+ },
973
+ "121": {
974
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
975
+ "lstrip": false,
976
+ "normalized": false,
977
+ "rstrip": false,
978
+ "single_word": false,
979
+ "special": false
980
+ },
981
+ "122": {
982
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
983
+ "lstrip": false,
984
+ "normalized": false,
985
+ "rstrip": false,
986
+ "single_word": false,
987
+ "special": false
988
+ },
989
+ "123": {
990
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
991
+ "lstrip": false,
992
+ "normalized": false,
993
+ "rstrip": false,
994
+ "single_word": false,
995
+ "special": false
996
+ },
997
+ "124": {
998
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
999
+ "lstrip": false,
1000
+ "normalized": false,
1001
+ "rstrip": false,
1002
+ "single_word": false,
1003
+ "special": false
1004
+ },
1005
+ "125": {
1006
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1007
+ "lstrip": false,
1008
+ "normalized": false,
1009
+ "rstrip": false,
1010
+ "single_word": false,
1011
+ "special": false
1012
+ },
1013
+ "126": {
1014
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1015
+ "lstrip": false,
1016
+ "normalized": false,
1017
+ "rstrip": false,
1018
+ "single_word": false,
1019
+ "special": false
1020
+ },
1021
+ "127": {
1022
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1023
+ "lstrip": false,
1024
+ "normalized": false,
1025
+ "rstrip": false,
1026
+ "single_word": false,
1027
+ "special": false
1028
+ },
1029
+ "128": {
1030
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1031
+ "lstrip": false,
1032
+ "normalized": false,
1033
+ "rstrip": false,
1034
+ "single_word": false,
1035
+ "special": false
1036
+ },
1037
+ "129": {
1038
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1039
+ "lstrip": false,
1040
+ "normalized": false,
1041
+ "rstrip": false,
1042
+ "single_word": false,
1043
+ "special": false
1044
+ },
1045
+ "130": {
1046
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1047
+ "lstrip": false,
1048
+ "normalized": false,
1049
+ "rstrip": false,
1050
+ "single_word": false,
1051
+ "special": false
1052
+ },
1053
+ "131": {
1054
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1055
+ "lstrip": false,
1056
+ "normalized": false,
1057
+ "rstrip": false,
1058
+ "single_word": false,
1059
+ "special": false
1060
+ },
1061
+ "132": {
1062
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1063
+ "lstrip": false,
1064
+ "normalized": false,
1065
+ "rstrip": false,
1066
+ "single_word": false,
1067
+ "special": false
1068
+ },
1069
+ "133": {
1070
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1071
+ "lstrip": false,
1072
+ "normalized": false,
1073
+ "rstrip": false,
1074
+ "single_word": false,
1075
+ "special": false
1076
+ },
1077
+ "134": {
1078
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1079
+ "lstrip": false,
1080
+ "normalized": false,
1081
+ "rstrip": false,
1082
+ "single_word": false,
1083
+ "special": false
1084
+ },
1085
+ "135": {
1086
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1087
+ "lstrip": false,
1088
+ "normalized": false,
1089
+ "rstrip": false,
1090
+ "single_word": false,
1091
+ "special": false
1092
+ },
1093
+ "136": {
1094
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1095
+ "lstrip": false,
1096
+ "normalized": false,
1097
+ "rstrip": false,
1098
+ "single_word": false,
1099
+ "special": false
1100
+ },
1101
+ "137": {
1102
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1103
+ "lstrip": false,
1104
+ "normalized": false,
1105
+ "rstrip": false,
1106
+ "single_word": false,
1107
+ "special": false
1108
+ },
1109
+ "138": {
1110
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1111
+ "lstrip": false,
1112
+ "normalized": false,
1113
+ "rstrip": false,
1114
+ "single_word": false,
1115
+ "special": false
1116
+ },
1117
+ "139": {
1118
+ "content": "▁▁",
1119
+ "lstrip": false,
1120
+ "normalized": false,
1121
+ "rstrip": false,
1122
+ "single_word": false,
1123
+ "special": false
1124
+ },
1125
+ "140": {
1126
+ "content": "▁▁▁",
1127
+ "lstrip": false,
1128
+ "normalized": false,
1129
+ "rstrip": false,
1130
+ "single_word": false,
1131
+ "special": false
1132
+ },
1133
+ "141": {
1134
+ "content": "▁▁▁▁",
1135
+ "lstrip": false,
1136
+ "normalized": false,
1137
+ "rstrip": false,
1138
+ "single_word": false,
1139
+ "special": false
1140
+ },
1141
+ "142": {
1142
+ "content": "▁▁▁▁▁",
1143
+ "lstrip": false,
1144
+ "normalized": false,
1145
+ "rstrip": false,
1146
+ "single_word": false,
1147
+ "special": false
1148
+ },
1149
+ "143": {
1150
+ "content": "▁▁▁▁▁▁",
1151
+ "lstrip": false,
1152
+ "normalized": false,
1153
+ "rstrip": false,
1154
+ "single_word": false,
1155
+ "special": false
1156
+ },
1157
+ "144": {
1158
+ "content": "▁▁▁▁▁▁▁",
1159
+ "lstrip": false,
1160
+ "normalized": false,
1161
+ "rstrip": false,
1162
+ "single_word": false,
1163
+ "special": false
1164
+ },
1165
+ "145": {
1166
+ "content": "▁▁▁▁▁▁▁▁",
1167
+ "lstrip": false,
1168
+ "normalized": false,
1169
+ "rstrip": false,
1170
+ "single_word": false,
1171
+ "special": false
1172
+ },
1173
+ "146": {
1174
+ "content": "▁▁▁▁▁▁▁▁▁",
1175
+ "lstrip": false,
1176
+ "normalized": false,
1177
+ "rstrip": false,
1178
+ "single_word": false,
1179
+ "special": false
1180
+ },
1181
+ "147": {
1182
+ "content": "▁▁▁▁▁▁▁▁▁▁",
1183
+ "lstrip": false,
1184
+ "normalized": false,
1185
+ "rstrip": false,
1186
+ "single_word": false,
1187
+ "special": false
1188
+ },
1189
+ "148": {
1190
+ "content": "▁▁▁▁▁▁▁▁▁▁▁",
1191
+ "lstrip": false,
1192
+ "normalized": false,
1193
+ "rstrip": false,
1194
+ "single_word": false,
1195
+ "special": false
1196
+ },
1197
+ "149": {
1198
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
1199
+ "lstrip": false,
1200
+ "normalized": false,
1201
+ "rstrip": false,
1202
+ "single_word": false,
1203
+ "special": false
1204
+ },
1205
+ "150": {
1206
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
1207
+ "lstrip": false,
1208
+ "normalized": false,
1209
+ "rstrip": false,
1210
+ "single_word": false,
1211
+ "special": false
1212
+ },
1213
+ "151": {
1214
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1215
+ "lstrip": false,
1216
+ "normalized": false,
1217
+ "rstrip": false,
1218
+ "single_word": false,
1219
+ "special": false
1220
+ },
1221
+ "152": {
1222
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1223
+ "lstrip": false,
1224
+ "normalized": false,
1225
+ "rstrip": false,
1226
+ "single_word": false,
1227
+ "special": false
1228
+ },
1229
+ "153": {
1230
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1231
+ "lstrip": false,
1232
+ "normalized": false,
1233
+ "rstrip": false,
1234
+ "single_word": false,
1235
+ "special": false
1236
+ },
1237
+ "154": {
1238
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1239
+ "lstrip": false,
1240
+ "normalized": false,
1241
+ "rstrip": false,
1242
+ "single_word": false,
1243
+ "special": false
1244
+ },
1245
+ "155": {
1246
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1247
+ "lstrip": false,
1248
+ "normalized": false,
1249
+ "rstrip": false,
1250
+ "single_word": false,
1251
+ "special": false
1252
+ },
1253
+ "156": {
1254
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1255
+ "lstrip": false,
1256
+ "normalized": false,
1257
+ "rstrip": false,
1258
+ "single_word": false,
1259
+ "special": false
1260
+ },
1261
+ "157": {
1262
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1263
+ "lstrip": false,
1264
+ "normalized": false,
1265
+ "rstrip": false,
1266
+ "single_word": false,
1267
+ "special": false
1268
+ },
1269
+ "158": {
1270
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1271
+ "lstrip": false,
1272
+ "normalized": false,
1273
+ "rstrip": false,
1274
+ "single_word": false,
1275
+ "special": false
1276
+ },
1277
+ "159": {
1278
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1279
+ "lstrip": false,
1280
+ "normalized": false,
1281
+ "rstrip": false,
1282
+ "single_word": false,
1283
+ "special": false
1284
+ },
1285
+ "160": {
1286
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1287
+ "lstrip": false,
1288
+ "normalized": false,
1289
+ "rstrip": false,
1290
+ "single_word": false,
1291
+ "special": false
1292
+ },
1293
+ "161": {
1294
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1295
+ "lstrip": false,
1296
+ "normalized": false,
1297
+ "rstrip": false,
1298
+ "single_word": false,
1299
+ "special": false
1300
+ },
1301
+ "162": {
1302
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1303
+ "lstrip": false,
1304
+ "normalized": false,
1305
+ "rstrip": false,
1306
+ "single_word": false,
1307
+ "special": false
1308
+ },
1309
+ "163": {
1310
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1311
+ "lstrip": false,
1312
+ "normalized": false,
1313
+ "rstrip": false,
1314
+ "single_word": false,
1315
+ "special": false
1316
+ },
1317
+ "164": {
1318
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1319
+ "lstrip": false,
1320
+ "normalized": false,
1321
+ "rstrip": false,
1322
+ "single_word": false,
1323
+ "special": false
1324
+ },
1325
+ "165": {
1326
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1327
+ "lstrip": false,
1328
+ "normalized": false,
1329
+ "rstrip": false,
1330
+ "single_word": false,
1331
+ "special": false
1332
+ },
1333
+ "166": {
1334
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1335
+ "lstrip": false,
1336
+ "normalized": false,
1337
+ "rstrip": false,
1338
+ "single_word": false,
1339
+ "special": false
1340
+ },
1341
+ "167": {
1342
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1343
+ "lstrip": false,
1344
+ "normalized": false,
1345
+ "rstrip": false,
1346
+ "single_word": false,
1347
+ "special": false
1348
+ },
1349
+ "168": {
1350
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1351
+ "lstrip": false,
1352
+ "normalized": false,
1353
+ "rstrip": false,
1354
+ "single_word": false,
1355
+ "special": false
1356
+ },
1357
+ "169": {
1358
+ "content": "<table>",
1359
+ "lstrip": false,
1360
+ "normalized": false,
1361
+ "rstrip": false,
1362
+ "single_word": false,
1363
+ "special": false
1364
+ },
1365
+ "170": {
1366
+ "content": "<caption>",
1367
+ "lstrip": false,
1368
+ "normalized": false,
1369
+ "rstrip": false,
1370
+ "single_word": false,
1371
+ "special": false
1372
+ },
1373
+ "171": {
1374
+ "content": "<thead>",
1375
+ "lstrip": false,
1376
+ "normalized": false,
1377
+ "rstrip": false,
1378
+ "single_word": false,
1379
+ "special": false
1380
+ },
1381
+ "172": {
1382
+ "content": "<tbody>",
1383
+ "lstrip": false,
1384
+ "normalized": false,
1385
+ "rstrip": false,
1386
+ "single_word": false,
1387
+ "special": false
1388
+ },
1389
+ "173": {
1390
+ "content": "<tfoot>",
1391
+ "lstrip": false,
1392
+ "normalized": false,
1393
+ "rstrip": false,
1394
+ "single_word": false,
1395
+ "special": false
1396
+ },
1397
+ "174": {
1398
+ "content": "<tr>",
1399
+ "lstrip": false,
1400
+ "normalized": false,
1401
+ "rstrip": false,
1402
+ "single_word": false,
1403
+ "special": false
1404
+ },
1405
+ "175": {
1406
+ "content": "<th>",
1407
+ "lstrip": false,
1408
+ "normalized": false,
1409
+ "rstrip": false,
1410
+ "single_word": false,
1411
+ "special": false
1412
+ },
1413
+ "176": {
1414
+ "content": "<td>",
1415
+ "lstrip": false,
1416
+ "normalized": false,
1417
+ "rstrip": false,
1418
+ "single_word": false,
1419
+ "special": false
1420
+ },
1421
+ "177": {
1422
+ "content": "</table>",
1423
+ "lstrip": false,
1424
+ "normalized": false,
1425
+ "rstrip": false,
1426
+ "single_word": false,
1427
+ "special": false
1428
+ },
1429
+ "178": {
1430
+ "content": "</caption>",
1431
+ "lstrip": false,
1432
+ "normalized": false,
1433
+ "rstrip": false,
1434
+ "single_word": false,
1435
+ "special": false
1436
+ },
1437
+ "179": {
1438
+ "content": "</thead>",
1439
+ "lstrip": false,
1440
+ "normalized": false,
1441
+ "rstrip": false,
1442
+ "single_word": false,
1443
+ "special": false
1444
+ },
1445
+ "180": {
1446
+ "content": "</tbody>",
1447
+ "lstrip": false,
1448
+ "normalized": false,
1449
+ "rstrip": false,
1450
+ "single_word": false,
1451
+ "special": false
1452
+ },
1453
+ "181": {
1454
+ "content": "</tfoot>",
1455
+ "lstrip": false,
1456
+ "normalized": false,
1457
+ "rstrip": false,
1458
+ "single_word": false,
1459
+ "special": false
1460
+ },
1461
+ "182": {
1462
+ "content": "</tr>",
1463
+ "lstrip": false,
1464
+ "normalized": false,
1465
+ "rstrip": false,
1466
+ "single_word": false,
1467
+ "special": false
1468
+ },
1469
+ "183": {
1470
+ "content": "</th>",
1471
+ "lstrip": false,
1472
+ "normalized": false,
1473
+ "rstrip": false,
1474
+ "single_word": false,
1475
+ "special": false
1476
+ },
1477
+ "184": {
1478
+ "content": "</td>",
1479
+ "lstrip": false,
1480
+ "normalized": false,
1481
+ "rstrip": false,
1482
+ "single_word": false,
1483
+ "special": false
1484
+ },
1485
+ "185": {
1486
+ "content": "<h1>",
1487
+ "lstrip": false,
1488
+ "normalized": false,
1489
+ "rstrip": false,
1490
+ "single_word": false,
1491
+ "special": false
1492
+ },
1493
+ "186": {
1494
+ "content": "<h2>",
1495
+ "lstrip": false,
1496
+ "normalized": false,
1497
+ "rstrip": false,
1498
+ "single_word": false,
1499
+ "special": false
1500
+ },
1501
+ "187": {
1502
+ "content": "<h3>",
1503
+ "lstrip": false,
1504
+ "normalized": false,
1505
+ "rstrip": false,
1506
+ "single_word": false,
1507
+ "special": false
1508
+ },
1509
+ "188": {
1510
+ "content": "<h4>",
1511
+ "lstrip": false,
1512
+ "normalized": false,
1513
+ "rstrip": false,
1514
+ "single_word": false,
1515
+ "special": false
1516
+ },
1517
+ "189": {
1518
+ "content": "<h5>",
1519
+ "lstrip": false,
1520
+ "normalized": false,
1521
+ "rstrip": false,
1522
+ "single_word": false,
1523
+ "special": false
1524
+ },
1525
+ "190": {
1526
+ "content": "<h6>",
1527
+ "lstrip": false,
1528
+ "normalized": false,
1529
+ "rstrip": false,
1530
+ "single_word": false,
1531
+ "special": false
1532
+ },
1533
+ "191": {
1534
+ "content": "<blockquote>",
1535
+ "lstrip": false,
1536
+ "normalized": false,
1537
+ "rstrip": false,
1538
+ "single_word": false,
1539
+ "special": false
1540
+ },
1541
+ "192": {
1542
+ "content": "</h1>",
1543
+ "lstrip": false,
1544
+ "normalized": false,
1545
+ "rstrip": false,
1546
+ "single_word": false,
1547
+ "special": false
1548
+ },
1549
+ "193": {
1550
+ "content": "</h2>",
1551
+ "lstrip": false,
1552
+ "normalized": false,
1553
+ "rstrip": false,
1554
+ "single_word": false,
1555
+ "special": false
1556
+ },
1557
+ "194": {
1558
+ "content": "</h3>",
1559
+ "lstrip": false,
1560
+ "normalized": false,
1561
+ "rstrip": false,
1562
+ "single_word": false,
1563
+ "special": false
1564
+ },
1565
+ "195": {
1566
+ "content": "</h4>",
1567
+ "lstrip": false,
1568
+ "normalized": false,
1569
+ "rstrip": false,
1570
+ "single_word": false,
1571
+ "special": false
1572
+ },
1573
+ "196": {
1574
+ "content": "</h5>",
1575
+ "lstrip": false,
1576
+ "normalized": false,
1577
+ "rstrip": false,
1578
+ "single_word": false,
1579
+ "special": false
1580
+ },
1581
+ "197": {
1582
+ "content": "</h6>",
1583
+ "lstrip": false,
1584
+ "normalized": false,
1585
+ "rstrip": false,
1586
+ "single_word": false,
1587
+ "special": false
1588
+ },
1589
+ "198": {
1590
+ "content": "</blockquote>",
1591
+ "lstrip": false,
1592
+ "normalized": false,
1593
+ "rstrip": false,
1594
+ "single_word": false,
1595
+ "special": false
1596
+ },
1597
+ "199": {
1598
+ "content": "<strong>",
1599
+ "lstrip": false,
1600
+ "normalized": false,
1601
+ "rstrip": false,
1602
+ "single_word": false,
1603
+ "special": false
1604
+ },
1605
+ "200": {
1606
+ "content": "<em>",
1607
+ "lstrip": false,
1608
+ "normalized": false,
1609
+ "rstrip": false,
1610
+ "single_word": false,
1611
+ "special": false
1612
+ },
1613
+ "201": {
1614
+ "content": "<b>",
1615
+ "lstrip": false,
1616
+ "normalized": false,
1617
+ "rstrip": false,
1618
+ "single_word": false,
1619
+ "special": false
1620
+ },
1621
+ "202": {
1622
+ "content": "<i>",
1623
+ "lstrip": false,
1624
+ "normalized": false,
1625
+ "rstrip": false,
1626
+ "single_word": false,
1627
+ "special": false
1628
+ },
1629
+ "203": {
1630
+ "content": "<u>",
1631
+ "lstrip": false,
1632
+ "normalized": false,
1633
+ "rstrip": false,
1634
+ "single_word": false,
1635
+ "special": false
1636
+ },
1637
+ "204": {
1638
+ "content": "<s>",
1639
+ "lstrip": false,
1640
+ "normalized": false,
1641
+ "rstrip": false,
1642
+ "single_word": false,
1643
+ "special": false
1644
+ },
1645
+ "205": {
1646
+ "content": "<sub>",
1647
+ "lstrip": false,
1648
+ "normalized": false,
1649
+ "rstrip": false,
1650
+ "single_word": false,
1651
+ "special": false
1652
+ },
1653
+ "206": {
1654
+ "content": "<sup>",
1655
+ "lstrip": false,
1656
+ "normalized": false,
1657
+ "rstrip": false,
1658
+ "single_word": false,
1659
+ "special": false
1660
+ },
1661
+ "207": {
1662
+ "content": "<code>",
1663
+ "lstrip": false,
1664
+ "normalized": false,
1665
+ "rstrip": false,
1666
+ "single_word": false,
1667
+ "special": false
1668
+ },
1669
+ "208": {
1670
+ "content": "</strong>",
1671
+ "lstrip": false,
1672
+ "normalized": false,
1673
+ "rstrip": false,
1674
+ "single_word": false,
1675
+ "special": false
1676
+ },
1677
+ "209": {
1678
+ "content": "</em>",
1679
+ "lstrip": false,
1680
+ "normalized": false,
1681
+ "rstrip": false,
1682
+ "single_word": false,
1683
+ "special": false
1684
+ },
1685
+ "210": {
1686
+ "content": "</b>",
1687
+ "lstrip": false,
1688
+ "normalized": false,
1689
+ "rstrip": false,
1690
+ "single_word": false,
1691
+ "special": false
1692
+ },
1693
+ "211": {
1694
+ "content": "</i>",
1695
+ "lstrip": false,
1696
+ "normalized": false,
1697
+ "rstrip": false,
1698
+ "single_word": false,
1699
+ "special": false
1700
+ },
1701
+ "212": {
1702
+ "content": "</u>",
1703
+ "lstrip": false,
1704
+ "normalized": false,
1705
+ "rstrip": false,
1706
+ "single_word": false,
1707
+ "special": false
1708
+ },
1709
+ "213": {
1710
+ "content": "</s>",
1711
+ "lstrip": false,
1712
+ "normalized": false,
1713
+ "rstrip": false,
1714
+ "single_word": false,
1715
+ "special": false
1716
+ },
1717
+ "214": {
1718
+ "content": "</sub>",
1719
+ "lstrip": false,
1720
+ "normalized": false,
1721
+ "rstrip": false,
1722
+ "single_word": false,
1723
+ "special": false
1724
+ },
1725
+ "215": {
1726
+ "content": "</sup>",
1727
+ "lstrip": false,
1728
+ "normalized": false,
1729
+ "rstrip": false,
1730
+ "single_word": false,
1731
+ "special": false
1732
+ },
1733
+ "216": {
1734
+ "content": "</code>",
1735
+ "lstrip": false,
1736
+ "normalized": false,
1737
+ "rstrip": false,
1738
+ "single_word": false,
1739
+ "special": false
1740
+ },
1741
+ "255968": {
1742
+ "content": "[toxicity=0]",
1743
+ "lstrip": false,
1744
+ "normalized": false,
1745
+ "rstrip": false,
1746
+ "single_word": false,
1747
+ "special": false
1748
+ },
1749
+ "255969": {
1750
+ "content": "\t\t",
1751
+ "lstrip": false,
1752
+ "normalized": false,
1753
+ "rstrip": false,
1754
+ "single_word": false,
1755
+ "special": false
1756
+ },
1757
+ "255970": {
1758
+ "content": "\t\t\t",
1759
+ "lstrip": false,
1760
+ "normalized": false,
1761
+ "rstrip": false,
1762
+ "single_word": false,
1763
+ "special": false
1764
+ },
1765
+ "255971": {
1766
+ "content": "\t\t\t\t",
1767
+ "lstrip": false,
1768
+ "normalized": false,
1769
+ "rstrip": false,
1770
+ "single_word": false,
1771
+ "special": false
1772
+ },
1773
+ "255972": {
1774
+ "content": "\t\t\t\t\t",
1775
+ "lstrip": false,
1776
+ "normalized": false,
1777
+ "rstrip": false,
1778
+ "single_word": false,
1779
+ "special": false
1780
+ },
1781
+ "255973": {
1782
+ "content": "\t\t\t\t\t\t",
1783
+ "lstrip": false,
1784
+ "normalized": false,
1785
+ "rstrip": false,
1786
+ "single_word": false,
1787
+ "special": false
1788
+ },
1789
+ "255974": {
1790
+ "content": "\t\t\t\t\t\t\t",
1791
+ "lstrip": false,
1792
+ "normalized": false,
1793
+ "rstrip": false,
1794
+ "single_word": false,
1795
+ "special": false
1796
+ },
1797
+ "255975": {
1798
+ "content": "\t\t\t\t\t\t\t\t",
1799
+ "lstrip": false,
1800
+ "normalized": false,
1801
+ "rstrip": false,
1802
+ "single_word": false,
1803
+ "special": false
1804
+ },
1805
+ "255976": {
1806
+ "content": "\t\t\t\t\t\t\t\t\t",
1807
+ "lstrip": false,
1808
+ "normalized": false,
1809
+ "rstrip": false,
1810
+ "single_word": false,
1811
+ "special": false
1812
+ },
1813
+ "255977": {
1814
+ "content": "\t\t\t\t\t\t\t\t\t\t",
1815
+ "lstrip": false,
1816
+ "normalized": false,
1817
+ "rstrip": false,
1818
+ "single_word": false,
1819
+ "special": false
1820
+ },
1821
+ "255978": {
1822
+ "content": "\t\t\t\t\t\t\t\t\t\t\t",
1823
+ "lstrip": false,
1824
+ "normalized": false,
1825
+ "rstrip": false,
1826
+ "single_word": false,
1827
+ "special": false
1828
+ },
1829
+ "255979": {
1830
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t",
1831
+ "lstrip": false,
1832
+ "normalized": false,
1833
+ "rstrip": false,
1834
+ "single_word": false,
1835
+ "special": false
1836
+ },
1837
+ "255980": {
1838
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
1839
+ "lstrip": false,
1840
+ "normalized": false,
1841
+ "rstrip": false,
1842
+ "single_word": false,
1843
+ "special": false
1844
+ },
1845
+ "255981": {
1846
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1847
+ "lstrip": false,
1848
+ "normalized": false,
1849
+ "rstrip": false,
1850
+ "single_word": false,
1851
+ "special": false
1852
+ },
1853
+ "255982": {
1854
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1855
+ "lstrip": false,
1856
+ "normalized": false,
1857
+ "rstrip": false,
1858
+ "single_word": false,
1859
+ "special": false
1860
+ },
1861
+ "255983": {
1862
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1863
+ "lstrip": false,
1864
+ "normalized": false,
1865
+ "rstrip": false,
1866
+ "single_word": false,
1867
+ "special": false
1868
+ },
1869
+ "255984": {
1870
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1871
+ "lstrip": false,
1872
+ "normalized": false,
1873
+ "rstrip": false,
1874
+ "single_word": false,
1875
+ "special": false
1876
+ },
1877
+ "255985": {
1878
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1879
+ "lstrip": false,
1880
+ "normalized": false,
1881
+ "rstrip": false,
1882
+ "single_word": false,
1883
+ "special": false
1884
+ },
1885
+ "255986": {
1886
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1887
+ "lstrip": false,
1888
+ "normalized": false,
1889
+ "rstrip": false,
1890
+ "single_word": false,
1891
+ "special": false
1892
+ },
1893
+ "255987": {
1894
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1895
+ "lstrip": false,
1896
+ "normalized": false,
1897
+ "rstrip": false,
1898
+ "single_word": false,
1899
+ "special": false
1900
+ },
1901
+ "255988": {
1902
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1903
+ "lstrip": false,
1904
+ "normalized": false,
1905
+ "rstrip": false,
1906
+ "single_word": false,
1907
+ "special": false
1908
+ },
1909
+ "255989": {
1910
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1911
+ "lstrip": false,
1912
+ "normalized": false,
1913
+ "rstrip": false,
1914
+ "single_word": false,
1915
+ "special": false
1916
+ },
1917
+ "255990": {
1918
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1919
+ "lstrip": false,
1920
+ "normalized": false,
1921
+ "rstrip": false,
1922
+ "single_word": false,
1923
+ "special": false
1924
+ },
1925
+ "255991": {
1926
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1927
+ "lstrip": false,
1928
+ "normalized": false,
1929
+ "rstrip": false,
1930
+ "single_word": false,
1931
+ "special": false
1932
+ },
1933
+ "255992": {
1934
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1935
+ "lstrip": false,
1936
+ "normalized": false,
1937
+ "rstrip": false,
1938
+ "single_word": false,
1939
+ "special": false
1940
+ },
1941
+ "255993": {
1942
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1943
+ "lstrip": false,
1944
+ "normalized": false,
1945
+ "rstrip": false,
1946
+ "single_word": false,
1947
+ "special": false
1948
+ },
1949
+ "255994": {
1950
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1951
+ "lstrip": false,
1952
+ "normalized": false,
1953
+ "rstrip": false,
1954
+ "single_word": false,
1955
+ "special": false
1956
+ },
1957
+ "255995": {
1958
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1959
+ "lstrip": false,
1960
+ "normalized": false,
1961
+ "rstrip": false,
1962
+ "single_word": false,
1963
+ "special": false
1964
+ },
1965
+ "255996": {
1966
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1967
+ "lstrip": false,
1968
+ "normalized": false,
1969
+ "rstrip": false,
1970
+ "single_word": false,
1971
+ "special": false
1972
+ },
1973
+ "255997": {
1974
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1975
+ "lstrip": false,
1976
+ "normalized": false,
1977
+ "rstrip": false,
1978
+ "single_word": false,
1979
+ "special": false
1980
+ },
1981
+ "255998": {
1982
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1983
+ "lstrip": false,
1984
+ "normalized": false,
1985
+ "rstrip": false,
1986
+ "single_word": false,
1987
+ "special": false
1988
+ },
1989
+ "255999": {
1990
+ "content": "<unused99>",
1991
+ "lstrip": false,
1992
+ "normalized": false,
1993
+ "rstrip": false,
1994
+ "single_word": false,
1995
+ "special": false
1996
+ }
1997
+ },
1998
+ "additional_special_tokens": [
1999
+ "<start_of_turn>",
2000
+ "<end_of_turn>"
2001
+ ],
2002
+ "bos_token": "<bos>",
2003
+ "clean_up_tokenization_spaces": false,
2004
+ "eos_token": "<eos>",
2005
+ "extra_special_tokens": {},
2006
+ "model_max_length": 1000000000000000019884624838656,
2007
+ "pad_token": "<pad>",
2008
+ "sp_model_kwargs": {},
2009
+ "spaces_between_special_tokens": false,
2010
+ "tokenizer_class": "GemmaTokenizer",
2011
+ "unk_token": "<unk>",
2012
+ "use_default_system_prompt": false
2013
+ }
checkpoint-2500/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3000/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
checkpoint-3000/config.json ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma2ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_logit_softcapping": 50.0,
8
+ "bos_token_id": 2,
9
+ "cache_implementation": "hybrid",
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 1,
12
+ "final_logit_softcapping": 30.0,
13
+ "head_dim": 256,
14
+ "hidden_act": "gelu_pytorch_tanh",
15
+ "hidden_activation": "gelu_pytorch_tanh",
16
+ "hidden_size": 3584,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 14336,
19
+ "layer_types": [
20
+ "sliding_attention",
21
+ "full_attention",
22
+ "sliding_attention",
23
+ "full_attention",
24
+ "sliding_attention",
25
+ "full_attention",
26
+ "sliding_attention",
27
+ "full_attention",
28
+ "sliding_attention",
29
+ "full_attention",
30
+ "sliding_attention",
31
+ "full_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "full_attention",
36
+ "sliding_attention",
37
+ "full_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "full_attention",
42
+ "sliding_attention",
43
+ "full_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "full_attention",
48
+ "sliding_attention",
49
+ "full_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "full_attention",
54
+ "sliding_attention",
55
+ "full_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "full_attention",
60
+ "sliding_attention",
61
+ "full_attention"
62
+ ],
63
+ "max_position_embeddings": 8192,
64
+ "model_type": "gemma2",
65
+ "num_attention_heads": 16,
66
+ "num_hidden_layers": 42,
67
+ "num_key_value_heads": 8,
68
+ "pad_token_id": 0,
69
+ "query_pre_attn_scalar": 256,
70
+ "rms_norm_eps": 1e-06,
71
+ "rope_theta": 10000.0,
72
+ "sliding_window": 4096,
73
+ "sliding_window_size": 4096,
74
+ "transformers_version": "4.56.1",
75
+ "use_cache": true,
76
+ "vocab_size": 256000
77
+ }
checkpoint-3000/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": [
5
+ 1
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.56.1"
9
+ }
checkpoint-3000/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0d4eb4fcbddfe01b0dc7a58386a3980826ededaf0ecd67d1ef38995b89615ba
3
+ size 4903351912
checkpoint-3000/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:712a589c333f49f7b6f3870838a9e0ab4b3c0260abd5130e8c54316e6c99640b
3
+ size 4947570872
checkpoint-3000/model.safetensors.index.json ADDED
@@ -0,0 +1,472 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 9241705984,
4
+ "total_size": 18483411968
5
+ },
6
+ "weight_map": {
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.20.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.21.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
273
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.32.input_layernorm.weight": "model-00004-of-00004.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
299
+ "model.layers.32.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
300
+ "model.layers.32.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.33.input_layernorm.weight": "model-00004-of-00004.safetensors",
306
+ "model.layers.33.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
307
+ "model.layers.33.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
308
+ "model.layers.33.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
309
+ "model.layers.33.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
310
+ "model.layers.33.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
311
+ "model.layers.33.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
315
+ "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
316
+ "model.layers.34.input_layernorm.weight": "model-00004-of-00004.safetensors",
317
+ "model.layers.34.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
318
+ "model.layers.34.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
319
+ "model.layers.34.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
320
+ "model.layers.34.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
321
+ "model.layers.34.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
322
+ "model.layers.34.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
326
+ "model.layers.34.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
327
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
328
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
338
+ "model.layers.36.input_layernorm.weight": "model-00004-of-00004.safetensors",
339
+ "model.layers.36.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
340
+ "model.layers.36.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
341
+ "model.layers.36.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
342
+ "model.layers.36.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
343
+ "model.layers.36.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
344
+ "model.layers.36.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
345
+ "model.layers.36.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
346
+ "model.layers.36.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
347
+ "model.layers.36.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
348
+ "model.layers.36.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
349
+ "model.layers.37.input_layernorm.weight": "model-00004-of-00004.safetensors",
350
+ "model.layers.37.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
351
+ "model.layers.37.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
352
+ "model.layers.37.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
353
+ "model.layers.37.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
354
+ "model.layers.37.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
355
+ "model.layers.37.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
356
+ "model.layers.37.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
357
+ "model.layers.37.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
358
+ "model.layers.37.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
359
+ "model.layers.37.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
360
+ "model.layers.38.input_layernorm.weight": "model-00004-of-00004.safetensors",
361
+ "model.layers.38.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
362
+ "model.layers.38.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
363
+ "model.layers.38.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
364
+ "model.layers.38.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
365
+ "model.layers.38.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
366
+ "model.layers.38.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
367
+ "model.layers.38.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
368
+ "model.layers.38.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
369
+ "model.layers.38.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
370
+ "model.layers.38.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
371
+ "model.layers.39.input_layernorm.weight": "model-00004-of-00004.safetensors",
372
+ "model.layers.39.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
373
+ "model.layers.39.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
374
+ "model.layers.39.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
375
+ "model.layers.39.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
376
+ "model.layers.39.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
377
+ "model.layers.39.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
378
+ "model.layers.39.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
379
+ "model.layers.39.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
380
+ "model.layers.39.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
381
+ "model.layers.39.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
382
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.40.input_layernorm.weight": "model-00004-of-00004.safetensors",
394
+ "model.layers.40.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
395
+ "model.layers.40.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
396
+ "model.layers.40.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
397
+ "model.layers.40.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
398
+ "model.layers.40.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
399
+ "model.layers.40.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
400
+ "model.layers.40.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
401
+ "model.layers.40.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
402
+ "model.layers.40.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
403
+ "model.layers.40.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
404
+ "model.layers.41.input_layernorm.weight": "model-00004-of-00004.safetensors",
405
+ "model.layers.41.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
406
+ "model.layers.41.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
407
+ "model.layers.41.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
408
+ "model.layers.41.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
409
+ "model.layers.41.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
410
+ "model.layers.41.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
411
+ "model.layers.41.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
412
+ "model.layers.41.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
413
+ "model.layers.41.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
414
+ "model.layers.41.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
415
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
416
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
417
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
418
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
419
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
420
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
421
+ "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
422
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
423
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
424
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
425
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
426
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
427
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
428
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
429
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
430
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
431
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
432
+ "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
433
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
434
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
435
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
436
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
437
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
438
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
439
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
440
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
441
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
442
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
443
+ "model.layers.7.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
444
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
445
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
446
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
448
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
449
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
450
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
451
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
452
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
453
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
454
+ "model.layers.8.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
455
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
456
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
457
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
458
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
459
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
460
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
461
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
462
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
463
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
464
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
465
+ "model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
466
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
467
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
468
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
469
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
470
+ "model.norm.weight": "model-00004-of-00004.safetensors"
471
+ }
472
+ }
checkpoint-3000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:df73238e0c82b047e6fcac514e915cb0e150c27053f3ac3761d9a5d5f6a92e4b
3
+ size 14645
checkpoint-3000/special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
checkpoint-3000/tokenizer_config.json ADDED
@@ -0,0 +1,2013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "4": {
38
+ "content": "<mask>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "5": {
46
+ "content": "<2mass>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "6": {
54
+ "content": "[@BOS@]",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "7": {
62
+ "content": "<unused0>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "8": {
70
+ "content": "<unused1>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "9": {
78
+ "content": "<unused2>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "10": {
86
+ "content": "<unused3>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "11": {
94
+ "content": "<unused4>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "12": {
102
+ "content": "<unused5>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "13": {
110
+ "content": "<unused6>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": false
116
+ },
117
+ "14": {
118
+ "content": "<unused7>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "15": {
126
+ "content": "<unused8>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "16": {
134
+ "content": "<unused9>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "17": {
142
+ "content": "<unused10>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "18": {
150
+ "content": "<unused11>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "19": {
158
+ "content": "<unused12>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "20": {
166
+ "content": "<unused13>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "21": {
174
+ "content": "<unused14>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "22": {
182
+ "content": "<unused15>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "23": {
190
+ "content": "<unused16>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "24": {
198
+ "content": "<unused17>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "25": {
206
+ "content": "<unused18>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "26": {
214
+ "content": "<unused19>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "27": {
222
+ "content": "<unused20>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "28": {
230
+ "content": "<unused21>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "29": {
238
+ "content": "<unused22>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "30": {
246
+ "content": "<unused23>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "31": {
254
+ "content": "<unused24>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "32": {
262
+ "content": "<unused25>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "33": {
270
+ "content": "<unused26>",
271
+ "lstrip": false,
272
+ "normalized": false,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "34": {
278
+ "content": "<unused27>",
279
+ "lstrip": false,
280
+ "normalized": false,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "35": {
286
+ "content": "<unused28>",
287
+ "lstrip": false,
288
+ "normalized": false,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "36": {
294
+ "content": "<unused29>",
295
+ "lstrip": false,
296
+ "normalized": false,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "37": {
302
+ "content": "<unused30>",
303
+ "lstrip": false,
304
+ "normalized": false,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "38": {
310
+ "content": "<unused31>",
311
+ "lstrip": false,
312
+ "normalized": false,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ },
317
+ "39": {
318
+ "content": "<unused32>",
319
+ "lstrip": false,
320
+ "normalized": false,
321
+ "rstrip": false,
322
+ "single_word": false,
323
+ "special": false
324
+ },
325
+ "40": {
326
+ "content": "<unused33>",
327
+ "lstrip": false,
328
+ "normalized": false,
329
+ "rstrip": false,
330
+ "single_word": false,
331
+ "special": false
332
+ },
333
+ "41": {
334
+ "content": "<unused34>",
335
+ "lstrip": false,
336
+ "normalized": false,
337
+ "rstrip": false,
338
+ "single_word": false,
339
+ "special": false
340
+ },
341
+ "42": {
342
+ "content": "<unused35>",
343
+ "lstrip": false,
344
+ "normalized": false,
345
+ "rstrip": false,
346
+ "single_word": false,
347
+ "special": false
348
+ },
349
+ "43": {
350
+ "content": "<unused36>",
351
+ "lstrip": false,
352
+ "normalized": false,
353
+ "rstrip": false,
354
+ "single_word": false,
355
+ "special": false
356
+ },
357
+ "44": {
358
+ "content": "<unused37>",
359
+ "lstrip": false,
360
+ "normalized": false,
361
+ "rstrip": false,
362
+ "single_word": false,
363
+ "special": false
364
+ },
365
+ "45": {
366
+ "content": "<unused38>",
367
+ "lstrip": false,
368
+ "normalized": false,
369
+ "rstrip": false,
370
+ "single_word": false,
371
+ "special": false
372
+ },
373
+ "46": {
374
+ "content": "<unused39>",
375
+ "lstrip": false,
376
+ "normalized": false,
377
+ "rstrip": false,
378
+ "single_word": false,
379
+ "special": false
380
+ },
381
+ "47": {
382
+ "content": "<unused40>",
383
+ "lstrip": false,
384
+ "normalized": false,
385
+ "rstrip": false,
386
+ "single_word": false,
387
+ "special": false
388
+ },
389
+ "48": {
390
+ "content": "<unused41>",
391
+ "lstrip": false,
392
+ "normalized": false,
393
+ "rstrip": false,
394
+ "single_word": false,
395
+ "special": false
396
+ },
397
+ "49": {
398
+ "content": "<unused42>",
399
+ "lstrip": false,
400
+ "normalized": false,
401
+ "rstrip": false,
402
+ "single_word": false,
403
+ "special": false
404
+ },
405
+ "50": {
406
+ "content": "<unused43>",
407
+ "lstrip": false,
408
+ "normalized": false,
409
+ "rstrip": false,
410
+ "single_word": false,
411
+ "special": false
412
+ },
413
+ "51": {
414
+ "content": "<unused44>",
415
+ "lstrip": false,
416
+ "normalized": false,
417
+ "rstrip": false,
418
+ "single_word": false,
419
+ "special": false
420
+ },
421
+ "52": {
422
+ "content": "<unused45>",
423
+ "lstrip": false,
424
+ "normalized": false,
425
+ "rstrip": false,
426
+ "single_word": false,
427
+ "special": false
428
+ },
429
+ "53": {
430
+ "content": "<unused46>",
431
+ "lstrip": false,
432
+ "normalized": false,
433
+ "rstrip": false,
434
+ "single_word": false,
435
+ "special": false
436
+ },
437
+ "54": {
438
+ "content": "<unused47>",
439
+ "lstrip": false,
440
+ "normalized": false,
441
+ "rstrip": false,
442
+ "single_word": false,
443
+ "special": false
444
+ },
445
+ "55": {
446
+ "content": "<unused48>",
447
+ "lstrip": false,
448
+ "normalized": false,
449
+ "rstrip": false,
450
+ "single_word": false,
451
+ "special": false
452
+ },
453
+ "56": {
454
+ "content": "<unused49>",
455
+ "lstrip": false,
456
+ "normalized": false,
457
+ "rstrip": false,
458
+ "single_word": false,
459
+ "special": false
460
+ },
461
+ "57": {
462
+ "content": "<unused50>",
463
+ "lstrip": false,
464
+ "normalized": false,
465
+ "rstrip": false,
466
+ "single_word": false,
467
+ "special": false
468
+ },
469
+ "58": {
470
+ "content": "<unused51>",
471
+ "lstrip": false,
472
+ "normalized": false,
473
+ "rstrip": false,
474
+ "single_word": false,
475
+ "special": false
476
+ },
477
+ "59": {
478
+ "content": "<unused52>",
479
+ "lstrip": false,
480
+ "normalized": false,
481
+ "rstrip": false,
482
+ "single_word": false,
483
+ "special": false
484
+ },
485
+ "60": {
486
+ "content": "<unused53>",
487
+ "lstrip": false,
488
+ "normalized": false,
489
+ "rstrip": false,
490
+ "single_word": false,
491
+ "special": false
492
+ },
493
+ "61": {
494
+ "content": "<unused54>",
495
+ "lstrip": false,
496
+ "normalized": false,
497
+ "rstrip": false,
498
+ "single_word": false,
499
+ "special": false
500
+ },
501
+ "62": {
502
+ "content": "<unused55>",
503
+ "lstrip": false,
504
+ "normalized": false,
505
+ "rstrip": false,
506
+ "single_word": false,
507
+ "special": false
508
+ },
509
+ "63": {
510
+ "content": "<unused56>",
511
+ "lstrip": false,
512
+ "normalized": false,
513
+ "rstrip": false,
514
+ "single_word": false,
515
+ "special": false
516
+ },
517
+ "64": {
518
+ "content": "<unused57>",
519
+ "lstrip": false,
520
+ "normalized": false,
521
+ "rstrip": false,
522
+ "single_word": false,
523
+ "special": false
524
+ },
525
+ "65": {
526
+ "content": "<unused58>",
527
+ "lstrip": false,
528
+ "normalized": false,
529
+ "rstrip": false,
530
+ "single_word": false,
531
+ "special": false
532
+ },
533
+ "66": {
534
+ "content": "<unused59>",
535
+ "lstrip": false,
536
+ "normalized": false,
537
+ "rstrip": false,
538
+ "single_word": false,
539
+ "special": false
540
+ },
541
+ "67": {
542
+ "content": "<unused60>",
543
+ "lstrip": false,
544
+ "normalized": false,
545
+ "rstrip": false,
546
+ "single_word": false,
547
+ "special": false
548
+ },
549
+ "68": {
550
+ "content": "<unused61>",
551
+ "lstrip": false,
552
+ "normalized": false,
553
+ "rstrip": false,
554
+ "single_word": false,
555
+ "special": false
556
+ },
557
+ "69": {
558
+ "content": "<unused62>",
559
+ "lstrip": false,
560
+ "normalized": false,
561
+ "rstrip": false,
562
+ "single_word": false,
563
+ "special": false
564
+ },
565
+ "70": {
566
+ "content": "<unused63>",
567
+ "lstrip": false,
568
+ "normalized": false,
569
+ "rstrip": false,
570
+ "single_word": false,
571
+ "special": false
572
+ },
573
+ "71": {
574
+ "content": "<unused64>",
575
+ "lstrip": false,
576
+ "normalized": false,
577
+ "rstrip": false,
578
+ "single_word": false,
579
+ "special": false
580
+ },
581
+ "72": {
582
+ "content": "<unused65>",
583
+ "lstrip": false,
584
+ "normalized": false,
585
+ "rstrip": false,
586
+ "single_word": false,
587
+ "special": false
588
+ },
589
+ "73": {
590
+ "content": "<unused66>",
591
+ "lstrip": false,
592
+ "normalized": false,
593
+ "rstrip": false,
594
+ "single_word": false,
595
+ "special": false
596
+ },
597
+ "74": {
598
+ "content": "<unused67>",
599
+ "lstrip": false,
600
+ "normalized": false,
601
+ "rstrip": false,
602
+ "single_word": false,
603
+ "special": false
604
+ },
605
+ "75": {
606
+ "content": "<unused68>",
607
+ "lstrip": false,
608
+ "normalized": false,
609
+ "rstrip": false,
610
+ "single_word": false,
611
+ "special": false
612
+ },
613
+ "76": {
614
+ "content": "<unused69>",
615
+ "lstrip": false,
616
+ "normalized": false,
617
+ "rstrip": false,
618
+ "single_word": false,
619
+ "special": false
620
+ },
621
+ "77": {
622
+ "content": "<unused70>",
623
+ "lstrip": false,
624
+ "normalized": false,
625
+ "rstrip": false,
626
+ "single_word": false,
627
+ "special": false
628
+ },
629
+ "78": {
630
+ "content": "<unused71>",
631
+ "lstrip": false,
632
+ "normalized": false,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": false
636
+ },
637
+ "79": {
638
+ "content": "<unused72>",
639
+ "lstrip": false,
640
+ "normalized": false,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": false
644
+ },
645
+ "80": {
646
+ "content": "<unused73>",
647
+ "lstrip": false,
648
+ "normalized": false,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": false
652
+ },
653
+ "81": {
654
+ "content": "<unused74>",
655
+ "lstrip": false,
656
+ "normalized": false,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": false
660
+ },
661
+ "82": {
662
+ "content": "<unused75>",
663
+ "lstrip": false,
664
+ "normalized": false,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": false
668
+ },
669
+ "83": {
670
+ "content": "<unused76>",
671
+ "lstrip": false,
672
+ "normalized": false,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": false
676
+ },
677
+ "84": {
678
+ "content": "<unused77>",
679
+ "lstrip": false,
680
+ "normalized": false,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": false
684
+ },
685
+ "85": {
686
+ "content": "<unused78>",
687
+ "lstrip": false,
688
+ "normalized": false,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": false
692
+ },
693
+ "86": {
694
+ "content": "<unused79>",
695
+ "lstrip": false,
696
+ "normalized": false,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": false
700
+ },
701
+ "87": {
702
+ "content": "<unused80>",
703
+ "lstrip": false,
704
+ "normalized": false,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": false
708
+ },
709
+ "88": {
710
+ "content": "<unused81>",
711
+ "lstrip": false,
712
+ "normalized": false,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": false
716
+ },
717
+ "89": {
718
+ "content": "<unused82>",
719
+ "lstrip": false,
720
+ "normalized": false,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": false
724
+ },
725
+ "90": {
726
+ "content": "<unused83>",
727
+ "lstrip": false,
728
+ "normalized": false,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": false
732
+ },
733
+ "91": {
734
+ "content": "<unused84>",
735
+ "lstrip": false,
736
+ "normalized": false,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": false
740
+ },
741
+ "92": {
742
+ "content": "<unused85>",
743
+ "lstrip": false,
744
+ "normalized": false,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": false
748
+ },
749
+ "93": {
750
+ "content": "<unused86>",
751
+ "lstrip": false,
752
+ "normalized": false,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": false
756
+ },
757
+ "94": {
758
+ "content": "<unused87>",
759
+ "lstrip": false,
760
+ "normalized": false,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": false
764
+ },
765
+ "95": {
766
+ "content": "<unused88>",
767
+ "lstrip": false,
768
+ "normalized": false,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": false
772
+ },
773
+ "96": {
774
+ "content": "<unused89>",
775
+ "lstrip": false,
776
+ "normalized": false,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": false
780
+ },
781
+ "97": {
782
+ "content": "<unused90>",
783
+ "lstrip": false,
784
+ "normalized": false,
785
+ "rstrip": false,
786
+ "single_word": false,
787
+ "special": false
788
+ },
789
+ "98": {
790
+ "content": "<unused91>",
791
+ "lstrip": false,
792
+ "normalized": false,
793
+ "rstrip": false,
794
+ "single_word": false,
795
+ "special": false
796
+ },
797
+ "99": {
798
+ "content": "<unused92>",
799
+ "lstrip": false,
800
+ "normalized": false,
801
+ "rstrip": false,
802
+ "single_word": false,
803
+ "special": false
804
+ },
805
+ "100": {
806
+ "content": "<unused93>",
807
+ "lstrip": false,
808
+ "normalized": false,
809
+ "rstrip": false,
810
+ "single_word": false,
811
+ "special": false
812
+ },
813
+ "101": {
814
+ "content": "<unused94>",
815
+ "lstrip": false,
816
+ "normalized": false,
817
+ "rstrip": false,
818
+ "single_word": false,
819
+ "special": false
820
+ },
821
+ "102": {
822
+ "content": "<unused95>",
823
+ "lstrip": false,
824
+ "normalized": false,
825
+ "rstrip": false,
826
+ "single_word": false,
827
+ "special": false
828
+ },
829
+ "103": {
830
+ "content": "<unused96>",
831
+ "lstrip": false,
832
+ "normalized": false,
833
+ "rstrip": false,
834
+ "single_word": false,
835
+ "special": false
836
+ },
837
+ "104": {
838
+ "content": "<unused97>",
839
+ "lstrip": false,
840
+ "normalized": false,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
844
+ },
845
+ "105": {
846
+ "content": "<unused98>",
847
+ "lstrip": false,
848
+ "normalized": false,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ },
853
+ "106": {
854
+ "content": "<start_of_turn>",
855
+ "lstrip": false,
856
+ "normalized": false,
857
+ "rstrip": false,
858
+ "single_word": false,
859
+ "special": true
860
+ },
861
+ "107": {
862
+ "content": "<end_of_turn>",
863
+ "lstrip": false,
864
+ "normalized": false,
865
+ "rstrip": false,
866
+ "single_word": false,
867
+ "special": true
868
+ },
869
+ "108": {
870
+ "content": "\n",
871
+ "lstrip": false,
872
+ "normalized": false,
873
+ "rstrip": false,
874
+ "single_word": false,
875
+ "special": false
876
+ },
877
+ "109": {
878
+ "content": "\n\n",
879
+ "lstrip": false,
880
+ "normalized": false,
881
+ "rstrip": false,
882
+ "single_word": false,
883
+ "special": false
884
+ },
885
+ "110": {
886
+ "content": "\n\n\n",
887
+ "lstrip": false,
888
+ "normalized": false,
889
+ "rstrip": false,
890
+ "single_word": false,
891
+ "special": false
892
+ },
893
+ "111": {
894
+ "content": "\n\n\n\n",
895
+ "lstrip": false,
896
+ "normalized": false,
897
+ "rstrip": false,
898
+ "single_word": false,
899
+ "special": false
900
+ },
901
+ "112": {
902
+ "content": "\n\n\n\n\n",
903
+ "lstrip": false,
904
+ "normalized": false,
905
+ "rstrip": false,
906
+ "single_word": false,
907
+ "special": false
908
+ },
909
+ "113": {
910
+ "content": "\n\n\n\n\n\n",
911
+ "lstrip": false,
912
+ "normalized": false,
913
+ "rstrip": false,
914
+ "single_word": false,
915
+ "special": false
916
+ },
917
+ "114": {
918
+ "content": "\n\n\n\n\n\n\n",
919
+ "lstrip": false,
920
+ "normalized": false,
921
+ "rstrip": false,
922
+ "single_word": false,
923
+ "special": false
924
+ },
925
+ "115": {
926
+ "content": "\n\n\n\n\n\n\n\n",
927
+ "lstrip": false,
928
+ "normalized": false,
929
+ "rstrip": false,
930
+ "single_word": false,
931
+ "special": false
932
+ },
933
+ "116": {
934
+ "content": "\n\n\n\n\n\n\n\n\n",
935
+ "lstrip": false,
936
+ "normalized": false,
937
+ "rstrip": false,
938
+ "single_word": false,
939
+ "special": false
940
+ },
941
+ "117": {
942
+ "content": "\n\n\n\n\n\n\n\n\n\n",
943
+ "lstrip": false,
944
+ "normalized": false,
945
+ "rstrip": false,
946
+ "single_word": false,
947
+ "special": false
948
+ },
949
+ "118": {
950
+ "content": "\n\n\n\n\n\n\n\n\n\n\n",
951
+ "lstrip": false,
952
+ "normalized": false,
953
+ "rstrip": false,
954
+ "single_word": false,
955
+ "special": false
956
+ },
957
+ "119": {
958
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
959
+ "lstrip": false,
960
+ "normalized": false,
961
+ "rstrip": false,
962
+ "single_word": false,
963
+ "special": false
964
+ },
965
+ "120": {
966
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
967
+ "lstrip": false,
968
+ "normalized": false,
969
+ "rstrip": false,
970
+ "single_word": false,
971
+ "special": false
972
+ },
973
+ "121": {
974
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
975
+ "lstrip": false,
976
+ "normalized": false,
977
+ "rstrip": false,
978
+ "single_word": false,
979
+ "special": false
980
+ },
981
+ "122": {
982
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
983
+ "lstrip": false,
984
+ "normalized": false,
985
+ "rstrip": false,
986
+ "single_word": false,
987
+ "special": false
988
+ },
989
+ "123": {
990
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
991
+ "lstrip": false,
992
+ "normalized": false,
993
+ "rstrip": false,
994
+ "single_word": false,
995
+ "special": false
996
+ },
997
+ "124": {
998
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
999
+ "lstrip": false,
1000
+ "normalized": false,
1001
+ "rstrip": false,
1002
+ "single_word": false,
1003
+ "special": false
1004
+ },
1005
+ "125": {
1006
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1007
+ "lstrip": false,
1008
+ "normalized": false,
1009
+ "rstrip": false,
1010
+ "single_word": false,
1011
+ "special": false
1012
+ },
1013
+ "126": {
1014
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1015
+ "lstrip": false,
1016
+ "normalized": false,
1017
+ "rstrip": false,
1018
+ "single_word": false,
1019
+ "special": false
1020
+ },
1021
+ "127": {
1022
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1023
+ "lstrip": false,
1024
+ "normalized": false,
1025
+ "rstrip": false,
1026
+ "single_word": false,
1027
+ "special": false
1028
+ },
1029
+ "128": {
1030
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1031
+ "lstrip": false,
1032
+ "normalized": false,
1033
+ "rstrip": false,
1034
+ "single_word": false,
1035
+ "special": false
1036
+ },
1037
+ "129": {
1038
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1039
+ "lstrip": false,
1040
+ "normalized": false,
1041
+ "rstrip": false,
1042
+ "single_word": false,
1043
+ "special": false
1044
+ },
1045
+ "130": {
1046
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1047
+ "lstrip": false,
1048
+ "normalized": false,
1049
+ "rstrip": false,
1050
+ "single_word": false,
1051
+ "special": false
1052
+ },
1053
+ "131": {
1054
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1055
+ "lstrip": false,
1056
+ "normalized": false,
1057
+ "rstrip": false,
1058
+ "single_word": false,
1059
+ "special": false
1060
+ },
1061
+ "132": {
1062
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1063
+ "lstrip": false,
1064
+ "normalized": false,
1065
+ "rstrip": false,
1066
+ "single_word": false,
1067
+ "special": false
1068
+ },
1069
+ "133": {
1070
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1071
+ "lstrip": false,
1072
+ "normalized": false,
1073
+ "rstrip": false,
1074
+ "single_word": false,
1075
+ "special": false
1076
+ },
1077
+ "134": {
1078
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1079
+ "lstrip": false,
1080
+ "normalized": false,
1081
+ "rstrip": false,
1082
+ "single_word": false,
1083
+ "special": false
1084
+ },
1085
+ "135": {
1086
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1087
+ "lstrip": false,
1088
+ "normalized": false,
1089
+ "rstrip": false,
1090
+ "single_word": false,
1091
+ "special": false
1092
+ },
1093
+ "136": {
1094
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1095
+ "lstrip": false,
1096
+ "normalized": false,
1097
+ "rstrip": false,
1098
+ "single_word": false,
1099
+ "special": false
1100
+ },
1101
+ "137": {
1102
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1103
+ "lstrip": false,
1104
+ "normalized": false,
1105
+ "rstrip": false,
1106
+ "single_word": false,
1107
+ "special": false
1108
+ },
1109
+ "138": {
1110
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1111
+ "lstrip": false,
1112
+ "normalized": false,
1113
+ "rstrip": false,
1114
+ "single_word": false,
1115
+ "special": false
1116
+ },
1117
+ "139": {
1118
+ "content": "▁▁",
1119
+ "lstrip": false,
1120
+ "normalized": false,
1121
+ "rstrip": false,
1122
+ "single_word": false,
1123
+ "special": false
1124
+ },
1125
+ "140": {
1126
+ "content": "▁▁▁",
1127
+ "lstrip": false,
1128
+ "normalized": false,
1129
+ "rstrip": false,
1130
+ "single_word": false,
1131
+ "special": false
1132
+ },
1133
+ "141": {
1134
+ "content": "▁▁▁▁",
1135
+ "lstrip": false,
1136
+ "normalized": false,
1137
+ "rstrip": false,
1138
+ "single_word": false,
1139
+ "special": false
1140
+ },
1141
+ "142": {
1142
+ "content": "▁▁▁▁▁",
1143
+ "lstrip": false,
1144
+ "normalized": false,
1145
+ "rstrip": false,
1146
+ "single_word": false,
1147
+ "special": false
1148
+ },
1149
+ "143": {
1150
+ "content": "▁▁▁▁▁▁",
1151
+ "lstrip": false,
1152
+ "normalized": false,
1153
+ "rstrip": false,
1154
+ "single_word": false,
1155
+ "special": false
1156
+ },
1157
+ "144": {
1158
+ "content": "▁▁▁▁▁▁▁",
1159
+ "lstrip": false,
1160
+ "normalized": false,
1161
+ "rstrip": false,
1162
+ "single_word": false,
1163
+ "special": false
1164
+ },
1165
+ "145": {
1166
+ "content": "▁▁▁▁▁▁▁▁",
1167
+ "lstrip": false,
1168
+ "normalized": false,
1169
+ "rstrip": false,
1170
+ "single_word": false,
1171
+ "special": false
1172
+ },
1173
+ "146": {
1174
+ "content": "▁▁▁▁▁▁▁▁▁",
1175
+ "lstrip": false,
1176
+ "normalized": false,
1177
+ "rstrip": false,
1178
+ "single_word": false,
1179
+ "special": false
1180
+ },
1181
+ "147": {
1182
+ "content": "▁▁▁▁▁▁▁▁▁▁",
1183
+ "lstrip": false,
1184
+ "normalized": false,
1185
+ "rstrip": false,
1186
+ "single_word": false,
1187
+ "special": false
1188
+ },
1189
+ "148": {
1190
+ "content": "▁▁▁▁▁▁▁▁▁▁▁",
1191
+ "lstrip": false,
1192
+ "normalized": false,
1193
+ "rstrip": false,
1194
+ "single_word": false,
1195
+ "special": false
1196
+ },
1197
+ "149": {
1198
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
1199
+ "lstrip": false,
1200
+ "normalized": false,
1201
+ "rstrip": false,
1202
+ "single_word": false,
1203
+ "special": false
1204
+ },
1205
+ "150": {
1206
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
1207
+ "lstrip": false,
1208
+ "normalized": false,
1209
+ "rstrip": false,
1210
+ "single_word": false,
1211
+ "special": false
1212
+ },
1213
+ "151": {
1214
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1215
+ "lstrip": false,
1216
+ "normalized": false,
1217
+ "rstrip": false,
1218
+ "single_word": false,
1219
+ "special": false
1220
+ },
1221
+ "152": {
1222
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1223
+ "lstrip": false,
1224
+ "normalized": false,
1225
+ "rstrip": false,
1226
+ "single_word": false,
1227
+ "special": false
1228
+ },
1229
+ "153": {
1230
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1231
+ "lstrip": false,
1232
+ "normalized": false,
1233
+ "rstrip": false,
1234
+ "single_word": false,
1235
+ "special": false
1236
+ },
1237
+ "154": {
1238
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1239
+ "lstrip": false,
1240
+ "normalized": false,
1241
+ "rstrip": false,
1242
+ "single_word": false,
1243
+ "special": false
1244
+ },
1245
+ "155": {
1246
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1247
+ "lstrip": false,
1248
+ "normalized": false,
1249
+ "rstrip": false,
1250
+ "single_word": false,
1251
+ "special": false
1252
+ },
1253
+ "156": {
1254
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1255
+ "lstrip": false,
1256
+ "normalized": false,
1257
+ "rstrip": false,
1258
+ "single_word": false,
1259
+ "special": false
1260
+ },
1261
+ "157": {
1262
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1263
+ "lstrip": false,
1264
+ "normalized": false,
1265
+ "rstrip": false,
1266
+ "single_word": false,
1267
+ "special": false
1268
+ },
1269
+ "158": {
1270
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1271
+ "lstrip": false,
1272
+ "normalized": false,
1273
+ "rstrip": false,
1274
+ "single_word": false,
1275
+ "special": false
1276
+ },
1277
+ "159": {
1278
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1279
+ "lstrip": false,
1280
+ "normalized": false,
1281
+ "rstrip": false,
1282
+ "single_word": false,
1283
+ "special": false
1284
+ },
1285
+ "160": {
1286
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1287
+ "lstrip": false,
1288
+ "normalized": false,
1289
+ "rstrip": false,
1290
+ "single_word": false,
1291
+ "special": false
1292
+ },
1293
+ "161": {
1294
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1295
+ "lstrip": false,
1296
+ "normalized": false,
1297
+ "rstrip": false,
1298
+ "single_word": false,
1299
+ "special": false
1300
+ },
1301
+ "162": {
1302
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1303
+ "lstrip": false,
1304
+ "normalized": false,
1305
+ "rstrip": false,
1306
+ "single_word": false,
1307
+ "special": false
1308
+ },
1309
+ "163": {
1310
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1311
+ "lstrip": false,
1312
+ "normalized": false,
1313
+ "rstrip": false,
1314
+ "single_word": false,
1315
+ "special": false
1316
+ },
1317
+ "164": {
1318
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1319
+ "lstrip": false,
1320
+ "normalized": false,
1321
+ "rstrip": false,
1322
+ "single_word": false,
1323
+ "special": false
1324
+ },
1325
+ "165": {
1326
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1327
+ "lstrip": false,
1328
+ "normalized": false,
1329
+ "rstrip": false,
1330
+ "single_word": false,
1331
+ "special": false
1332
+ },
1333
+ "166": {
1334
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1335
+ "lstrip": false,
1336
+ "normalized": false,
1337
+ "rstrip": false,
1338
+ "single_word": false,
1339
+ "special": false
1340
+ },
1341
+ "167": {
1342
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1343
+ "lstrip": false,
1344
+ "normalized": false,
1345
+ "rstrip": false,
1346
+ "single_word": false,
1347
+ "special": false
1348
+ },
1349
+ "168": {
1350
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1351
+ "lstrip": false,
1352
+ "normalized": false,
1353
+ "rstrip": false,
1354
+ "single_word": false,
1355
+ "special": false
1356
+ },
1357
+ "169": {
1358
+ "content": "<table>",
1359
+ "lstrip": false,
1360
+ "normalized": false,
1361
+ "rstrip": false,
1362
+ "single_word": false,
1363
+ "special": false
1364
+ },
1365
+ "170": {
1366
+ "content": "<caption>",
1367
+ "lstrip": false,
1368
+ "normalized": false,
1369
+ "rstrip": false,
1370
+ "single_word": false,
1371
+ "special": false
1372
+ },
1373
+ "171": {
1374
+ "content": "<thead>",
1375
+ "lstrip": false,
1376
+ "normalized": false,
1377
+ "rstrip": false,
1378
+ "single_word": false,
1379
+ "special": false
1380
+ },
1381
+ "172": {
1382
+ "content": "<tbody>",
1383
+ "lstrip": false,
1384
+ "normalized": false,
1385
+ "rstrip": false,
1386
+ "single_word": false,
1387
+ "special": false
1388
+ },
1389
+ "173": {
1390
+ "content": "<tfoot>",
1391
+ "lstrip": false,
1392
+ "normalized": false,
1393
+ "rstrip": false,
1394
+ "single_word": false,
1395
+ "special": false
1396
+ },
1397
+ "174": {
1398
+ "content": "<tr>",
1399
+ "lstrip": false,
1400
+ "normalized": false,
1401
+ "rstrip": false,
1402
+ "single_word": false,
1403
+ "special": false
1404
+ },
1405
+ "175": {
1406
+ "content": "<th>",
1407
+ "lstrip": false,
1408
+ "normalized": false,
1409
+ "rstrip": false,
1410
+ "single_word": false,
1411
+ "special": false
1412
+ },
1413
+ "176": {
1414
+ "content": "<td>",
1415
+ "lstrip": false,
1416
+ "normalized": false,
1417
+ "rstrip": false,
1418
+ "single_word": false,
1419
+ "special": false
1420
+ },
1421
+ "177": {
1422
+ "content": "</table>",
1423
+ "lstrip": false,
1424
+ "normalized": false,
1425
+ "rstrip": false,
1426
+ "single_word": false,
1427
+ "special": false
1428
+ },
1429
+ "178": {
1430
+ "content": "</caption>",
1431
+ "lstrip": false,
1432
+ "normalized": false,
1433
+ "rstrip": false,
1434
+ "single_word": false,
1435
+ "special": false
1436
+ },
1437
+ "179": {
1438
+ "content": "</thead>",
1439
+ "lstrip": false,
1440
+ "normalized": false,
1441
+ "rstrip": false,
1442
+ "single_word": false,
1443
+ "special": false
1444
+ },
1445
+ "180": {
1446
+ "content": "</tbody>",
1447
+ "lstrip": false,
1448
+ "normalized": false,
1449
+ "rstrip": false,
1450
+ "single_word": false,
1451
+ "special": false
1452
+ },
1453
+ "181": {
1454
+ "content": "</tfoot>",
1455
+ "lstrip": false,
1456
+ "normalized": false,
1457
+ "rstrip": false,
1458
+ "single_word": false,
1459
+ "special": false
1460
+ },
1461
+ "182": {
1462
+ "content": "</tr>",
1463
+ "lstrip": false,
1464
+ "normalized": false,
1465
+ "rstrip": false,
1466
+ "single_word": false,
1467
+ "special": false
1468
+ },
1469
+ "183": {
1470
+ "content": "</th>",
1471
+ "lstrip": false,
1472
+ "normalized": false,
1473
+ "rstrip": false,
1474
+ "single_word": false,
1475
+ "special": false
1476
+ },
1477
+ "184": {
1478
+ "content": "</td>",
1479
+ "lstrip": false,
1480
+ "normalized": false,
1481
+ "rstrip": false,
1482
+ "single_word": false,
1483
+ "special": false
1484
+ },
1485
+ "185": {
1486
+ "content": "<h1>",
1487
+ "lstrip": false,
1488
+ "normalized": false,
1489
+ "rstrip": false,
1490
+ "single_word": false,
1491
+ "special": false
1492
+ },
1493
+ "186": {
1494
+ "content": "<h2>",
1495
+ "lstrip": false,
1496
+ "normalized": false,
1497
+ "rstrip": false,
1498
+ "single_word": false,
1499
+ "special": false
1500
+ },
1501
+ "187": {
1502
+ "content": "<h3>",
1503
+ "lstrip": false,
1504
+ "normalized": false,
1505
+ "rstrip": false,
1506
+ "single_word": false,
1507
+ "special": false
1508
+ },
1509
+ "188": {
1510
+ "content": "<h4>",
1511
+ "lstrip": false,
1512
+ "normalized": false,
1513
+ "rstrip": false,
1514
+ "single_word": false,
1515
+ "special": false
1516
+ },
1517
+ "189": {
1518
+ "content": "<h5>",
1519
+ "lstrip": false,
1520
+ "normalized": false,
1521
+ "rstrip": false,
1522
+ "single_word": false,
1523
+ "special": false
1524
+ },
1525
+ "190": {
1526
+ "content": "<h6>",
1527
+ "lstrip": false,
1528
+ "normalized": false,
1529
+ "rstrip": false,
1530
+ "single_word": false,
1531
+ "special": false
1532
+ },
1533
+ "191": {
1534
+ "content": "<blockquote>",
1535
+ "lstrip": false,
1536
+ "normalized": false,
1537
+ "rstrip": false,
1538
+ "single_word": false,
1539
+ "special": false
1540
+ },
1541
+ "192": {
1542
+ "content": "</h1>",
1543
+ "lstrip": false,
1544
+ "normalized": false,
1545
+ "rstrip": false,
1546
+ "single_word": false,
1547
+ "special": false
1548
+ },
1549
+ "193": {
1550
+ "content": "</h2>",
1551
+ "lstrip": false,
1552
+ "normalized": false,
1553
+ "rstrip": false,
1554
+ "single_word": false,
1555
+ "special": false
1556
+ },
1557
+ "194": {
1558
+ "content": "</h3>",
1559
+ "lstrip": false,
1560
+ "normalized": false,
1561
+ "rstrip": false,
1562
+ "single_word": false,
1563
+ "special": false
1564
+ },
1565
+ "195": {
1566
+ "content": "</h4>",
1567
+ "lstrip": false,
1568
+ "normalized": false,
1569
+ "rstrip": false,
1570
+ "single_word": false,
1571
+ "special": false
1572
+ },
1573
+ "196": {
1574
+ "content": "</h5>",
1575
+ "lstrip": false,
1576
+ "normalized": false,
1577
+ "rstrip": false,
1578
+ "single_word": false,
1579
+ "special": false
1580
+ },
1581
+ "197": {
1582
+ "content": "</h6>",
1583
+ "lstrip": false,
1584
+ "normalized": false,
1585
+ "rstrip": false,
1586
+ "single_word": false,
1587
+ "special": false
1588
+ },
1589
+ "198": {
1590
+ "content": "</blockquote>",
1591
+ "lstrip": false,
1592
+ "normalized": false,
1593
+ "rstrip": false,
1594
+ "single_word": false,
1595
+ "special": false
1596
+ },
1597
+ "199": {
1598
+ "content": "<strong>",
1599
+ "lstrip": false,
1600
+ "normalized": false,
1601
+ "rstrip": false,
1602
+ "single_word": false,
1603
+ "special": false
1604
+ },
1605
+ "200": {
1606
+ "content": "<em>",
1607
+ "lstrip": false,
1608
+ "normalized": false,
1609
+ "rstrip": false,
1610
+ "single_word": false,
1611
+ "special": false
1612
+ },
1613
+ "201": {
1614
+ "content": "<b>",
1615
+ "lstrip": false,
1616
+ "normalized": false,
1617
+ "rstrip": false,
1618
+ "single_word": false,
1619
+ "special": false
1620
+ },
1621
+ "202": {
1622
+ "content": "<i>",
1623
+ "lstrip": false,
1624
+ "normalized": false,
1625
+ "rstrip": false,
1626
+ "single_word": false,
1627
+ "special": false
1628
+ },
1629
+ "203": {
1630
+ "content": "<u>",
1631
+ "lstrip": false,
1632
+ "normalized": false,
1633
+ "rstrip": false,
1634
+ "single_word": false,
1635
+ "special": false
1636
+ },
1637
+ "204": {
1638
+ "content": "<s>",
1639
+ "lstrip": false,
1640
+ "normalized": false,
1641
+ "rstrip": false,
1642
+ "single_word": false,
1643
+ "special": false
1644
+ },
1645
+ "205": {
1646
+ "content": "<sub>",
1647
+ "lstrip": false,
1648
+ "normalized": false,
1649
+ "rstrip": false,
1650
+ "single_word": false,
1651
+ "special": false
1652
+ },
1653
+ "206": {
1654
+ "content": "<sup>",
1655
+ "lstrip": false,
1656
+ "normalized": false,
1657
+ "rstrip": false,
1658
+ "single_word": false,
1659
+ "special": false
1660
+ },
1661
+ "207": {
1662
+ "content": "<code>",
1663
+ "lstrip": false,
1664
+ "normalized": false,
1665
+ "rstrip": false,
1666
+ "single_word": false,
1667
+ "special": false
1668
+ },
1669
+ "208": {
1670
+ "content": "</strong>",
1671
+ "lstrip": false,
1672
+ "normalized": false,
1673
+ "rstrip": false,
1674
+ "single_word": false,
1675
+ "special": false
1676
+ },
1677
+ "209": {
1678
+ "content": "</em>",
1679
+ "lstrip": false,
1680
+ "normalized": false,
1681
+ "rstrip": false,
1682
+ "single_word": false,
1683
+ "special": false
1684
+ },
1685
+ "210": {
1686
+ "content": "</b>",
1687
+ "lstrip": false,
1688
+ "normalized": false,
1689
+ "rstrip": false,
1690
+ "single_word": false,
1691
+ "special": false
1692
+ },
1693
+ "211": {
1694
+ "content": "</i>",
1695
+ "lstrip": false,
1696
+ "normalized": false,
1697
+ "rstrip": false,
1698
+ "single_word": false,
1699
+ "special": false
1700
+ },
1701
+ "212": {
1702
+ "content": "</u>",
1703
+ "lstrip": false,
1704
+ "normalized": false,
1705
+ "rstrip": false,
1706
+ "single_word": false,
1707
+ "special": false
1708
+ },
1709
+ "213": {
1710
+ "content": "</s>",
1711
+ "lstrip": false,
1712
+ "normalized": false,
1713
+ "rstrip": false,
1714
+ "single_word": false,
1715
+ "special": false
1716
+ },
1717
+ "214": {
1718
+ "content": "</sub>",
1719
+ "lstrip": false,
1720
+ "normalized": false,
1721
+ "rstrip": false,
1722
+ "single_word": false,
1723
+ "special": false
1724
+ },
1725
+ "215": {
1726
+ "content": "</sup>",
1727
+ "lstrip": false,
1728
+ "normalized": false,
1729
+ "rstrip": false,
1730
+ "single_word": false,
1731
+ "special": false
1732
+ },
1733
+ "216": {
1734
+ "content": "</code>",
1735
+ "lstrip": false,
1736
+ "normalized": false,
1737
+ "rstrip": false,
1738
+ "single_word": false,
1739
+ "special": false
1740
+ },
1741
+ "255968": {
1742
+ "content": "[toxicity=0]",
1743
+ "lstrip": false,
1744
+ "normalized": false,
1745
+ "rstrip": false,
1746
+ "single_word": false,
1747
+ "special": false
1748
+ },
1749
+ "255969": {
1750
+ "content": "\t\t",
1751
+ "lstrip": false,
1752
+ "normalized": false,
1753
+ "rstrip": false,
1754
+ "single_word": false,
1755
+ "special": false
1756
+ },
1757
+ "255970": {
1758
+ "content": "\t\t\t",
1759
+ "lstrip": false,
1760
+ "normalized": false,
1761
+ "rstrip": false,
1762
+ "single_word": false,
1763
+ "special": false
1764
+ },
1765
+ "255971": {
1766
+ "content": "\t\t\t\t",
1767
+ "lstrip": false,
1768
+ "normalized": false,
1769
+ "rstrip": false,
1770
+ "single_word": false,
1771
+ "special": false
1772
+ },
1773
+ "255972": {
1774
+ "content": "\t\t\t\t\t",
1775
+ "lstrip": false,
1776
+ "normalized": false,
1777
+ "rstrip": false,
1778
+ "single_word": false,
1779
+ "special": false
1780
+ },
1781
+ "255973": {
1782
+ "content": "\t\t\t\t\t\t",
1783
+ "lstrip": false,
1784
+ "normalized": false,
1785
+ "rstrip": false,
1786
+ "single_word": false,
1787
+ "special": false
1788
+ },
1789
+ "255974": {
1790
+ "content": "\t\t\t\t\t\t\t",
1791
+ "lstrip": false,
1792
+ "normalized": false,
1793
+ "rstrip": false,
1794
+ "single_word": false,
1795
+ "special": false
1796
+ },
1797
+ "255975": {
1798
+ "content": "\t\t\t\t\t\t\t\t",
1799
+ "lstrip": false,
1800
+ "normalized": false,
1801
+ "rstrip": false,
1802
+ "single_word": false,
1803
+ "special": false
1804
+ },
1805
+ "255976": {
1806
+ "content": "\t\t\t\t\t\t\t\t\t",
1807
+ "lstrip": false,
1808
+ "normalized": false,
1809
+ "rstrip": false,
1810
+ "single_word": false,
1811
+ "special": false
1812
+ },
1813
+ "255977": {
1814
+ "content": "\t\t\t\t\t\t\t\t\t\t",
1815
+ "lstrip": false,
1816
+ "normalized": false,
1817
+ "rstrip": false,
1818
+ "single_word": false,
1819
+ "special": false
1820
+ },
1821
+ "255978": {
1822
+ "content": "\t\t\t\t\t\t\t\t\t\t\t",
1823
+ "lstrip": false,
1824
+ "normalized": false,
1825
+ "rstrip": false,
1826
+ "single_word": false,
1827
+ "special": false
1828
+ },
1829
+ "255979": {
1830
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t",
1831
+ "lstrip": false,
1832
+ "normalized": false,
1833
+ "rstrip": false,
1834
+ "single_word": false,
1835
+ "special": false
1836
+ },
1837
+ "255980": {
1838
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
1839
+ "lstrip": false,
1840
+ "normalized": false,
1841
+ "rstrip": false,
1842
+ "single_word": false,
1843
+ "special": false
1844
+ },
1845
+ "255981": {
1846
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1847
+ "lstrip": false,
1848
+ "normalized": false,
1849
+ "rstrip": false,
1850
+ "single_word": false,
1851
+ "special": false
1852
+ },
1853
+ "255982": {
1854
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1855
+ "lstrip": false,
1856
+ "normalized": false,
1857
+ "rstrip": false,
1858
+ "single_word": false,
1859
+ "special": false
1860
+ },
1861
+ "255983": {
1862
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1863
+ "lstrip": false,
1864
+ "normalized": false,
1865
+ "rstrip": false,
1866
+ "single_word": false,
1867
+ "special": false
1868
+ },
1869
+ "255984": {
1870
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1871
+ "lstrip": false,
1872
+ "normalized": false,
1873
+ "rstrip": false,
1874
+ "single_word": false,
1875
+ "special": false
1876
+ },
1877
+ "255985": {
1878
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1879
+ "lstrip": false,
1880
+ "normalized": false,
1881
+ "rstrip": false,
1882
+ "single_word": false,
1883
+ "special": false
1884
+ },
1885
+ "255986": {
1886
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1887
+ "lstrip": false,
1888
+ "normalized": false,
1889
+ "rstrip": false,
1890
+ "single_word": false,
1891
+ "special": false
1892
+ },
1893
+ "255987": {
1894
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1895
+ "lstrip": false,
1896
+ "normalized": false,
1897
+ "rstrip": false,
1898
+ "single_word": false,
1899
+ "special": false
1900
+ },
1901
+ "255988": {
1902
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1903
+ "lstrip": false,
1904
+ "normalized": false,
1905
+ "rstrip": false,
1906
+ "single_word": false,
1907
+ "special": false
1908
+ },
1909
+ "255989": {
1910
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1911
+ "lstrip": false,
1912
+ "normalized": false,
1913
+ "rstrip": false,
1914
+ "single_word": false,
1915
+ "special": false
1916
+ },
1917
+ "255990": {
1918
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1919
+ "lstrip": false,
1920
+ "normalized": false,
1921
+ "rstrip": false,
1922
+ "single_word": false,
1923
+ "special": false
1924
+ },
1925
+ "255991": {
1926
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1927
+ "lstrip": false,
1928
+ "normalized": false,
1929
+ "rstrip": false,
1930
+ "single_word": false,
1931
+ "special": false
1932
+ },
1933
+ "255992": {
1934
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1935
+ "lstrip": false,
1936
+ "normalized": false,
1937
+ "rstrip": false,
1938
+ "single_word": false,
1939
+ "special": false
1940
+ },
1941
+ "255993": {
1942
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1943
+ "lstrip": false,
1944
+ "normalized": false,
1945
+ "rstrip": false,
1946
+ "single_word": false,
1947
+ "special": false
1948
+ },
1949
+ "255994": {
1950
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1951
+ "lstrip": false,
1952
+ "normalized": false,
1953
+ "rstrip": false,
1954
+ "single_word": false,
1955
+ "special": false
1956
+ },
1957
+ "255995": {
1958
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1959
+ "lstrip": false,
1960
+ "normalized": false,
1961
+ "rstrip": false,
1962
+ "single_word": false,
1963
+ "special": false
1964
+ },
1965
+ "255996": {
1966
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1967
+ "lstrip": false,
1968
+ "normalized": false,
1969
+ "rstrip": false,
1970
+ "single_word": false,
1971
+ "special": false
1972
+ },
1973
+ "255997": {
1974
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1975
+ "lstrip": false,
1976
+ "normalized": false,
1977
+ "rstrip": false,
1978
+ "single_word": false,
1979
+ "special": false
1980
+ },
1981
+ "255998": {
1982
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1983
+ "lstrip": false,
1984
+ "normalized": false,
1985
+ "rstrip": false,
1986
+ "single_word": false,
1987
+ "special": false
1988
+ },
1989
+ "255999": {
1990
+ "content": "<unused99>",
1991
+ "lstrip": false,
1992
+ "normalized": false,
1993
+ "rstrip": false,
1994
+ "single_word": false,
1995
+ "special": false
1996
+ }
1997
+ },
1998
+ "additional_special_tokens": [
1999
+ "<start_of_turn>",
2000
+ "<end_of_turn>"
2001
+ ],
2002
+ "bos_token": "<bos>",
2003
+ "clean_up_tokenization_spaces": false,
2004
+ "eos_token": "<eos>",
2005
+ "extra_special_tokens": {},
2006
+ "model_max_length": 1000000000000000019884624838656,
2007
+ "pad_token": "<pad>",
2008
+ "sp_model_kwargs": {},
2009
+ "spaces_between_special_tokens": false,
2010
+ "tokenizer_class": "GemmaTokenizer",
2011
+ "unk_token": "<unk>",
2012
+ "use_default_system_prompt": false
2013
+ }
checkpoint-3000/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
final/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
final/config.json ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma2ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_logit_softcapping": 50.0,
8
+ "bos_token_id": 2,
9
+ "cache_implementation": "hybrid",
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 1,
12
+ "final_logit_softcapping": 30.0,
13
+ "head_dim": 256,
14
+ "hidden_act": "gelu_pytorch_tanh",
15
+ "hidden_activation": "gelu_pytorch_tanh",
16
+ "hidden_size": 3584,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 14336,
19
+ "layer_types": [
20
+ "sliding_attention",
21
+ "full_attention",
22
+ "sliding_attention",
23
+ "full_attention",
24
+ "sliding_attention",
25
+ "full_attention",
26
+ "sliding_attention",
27
+ "full_attention",
28
+ "sliding_attention",
29
+ "full_attention",
30
+ "sliding_attention",
31
+ "full_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "full_attention",
36
+ "sliding_attention",
37
+ "full_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "full_attention",
42
+ "sliding_attention",
43
+ "full_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "full_attention",
48
+ "sliding_attention",
49
+ "full_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "full_attention",
54
+ "sliding_attention",
55
+ "full_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "full_attention",
60
+ "sliding_attention",
61
+ "full_attention"
62
+ ],
63
+ "max_position_embeddings": 8192,
64
+ "model_type": "gemma2",
65
+ "num_attention_heads": 16,
66
+ "num_hidden_layers": 42,
67
+ "num_key_value_heads": 8,
68
+ "pad_token_id": 0,
69
+ "query_pre_attn_scalar": 256,
70
+ "rms_norm_eps": 1e-06,
71
+ "rope_theta": 10000.0,
72
+ "sliding_window": 4096,
73
+ "sliding_window_size": 4096,
74
+ "transformers_version": "4.56.1",
75
+ "use_cache": true,
76
+ "vocab_size": 256000
77
+ }
final/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": [
5
+ 1
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.56.1"
9
+ }
final/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0d4eb4fcbddfe01b0dc7a58386a3980826ededaf0ecd67d1ef38995b89615ba
3
+ size 4903351912
final/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:712a589c333f49f7b6f3870838a9e0ab4b3c0260abd5130e8c54316e6c99640b
3
+ size 4947570872
final/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ea8eba485511a2a6145f9b5ea60446c627f6755d64c19c44b36c3f7091ab2af
3
+ size 4962221464
final/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e4056be6e2051321e541cf413ac93c82dd9b46512ead293e3a1a3f80d7ebd68
3
+ size 3670322200
final/model.safetensors.index.json ADDED
@@ -0,0 +1,472 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 9241705984,
4
+ "total_size": 18483411968
5
+ },
6
+ "weight_map": {
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.20.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.21.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
273
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.32.input_layernorm.weight": "model-00004-of-00004.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
299
+ "model.layers.32.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
300
+ "model.layers.32.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.33.input_layernorm.weight": "model-00004-of-00004.safetensors",
306
+ "model.layers.33.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
307
+ "model.layers.33.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
308
+ "model.layers.33.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
309
+ "model.layers.33.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
310
+ "model.layers.33.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
311
+ "model.layers.33.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
315
+ "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
316
+ "model.layers.34.input_layernorm.weight": "model-00004-of-00004.safetensors",
317
+ "model.layers.34.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
318
+ "model.layers.34.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
319
+ "model.layers.34.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
320
+ "model.layers.34.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
321
+ "model.layers.34.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
322
+ "model.layers.34.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
326
+ "model.layers.34.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
327
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
328
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
338
+ "model.layers.36.input_layernorm.weight": "model-00004-of-00004.safetensors",
339
+ "model.layers.36.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
340
+ "model.layers.36.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
341
+ "model.layers.36.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
342
+ "model.layers.36.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
343
+ "model.layers.36.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
344
+ "model.layers.36.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
345
+ "model.layers.36.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
346
+ "model.layers.36.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
347
+ "model.layers.36.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
348
+ "model.layers.36.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
349
+ "model.layers.37.input_layernorm.weight": "model-00004-of-00004.safetensors",
350
+ "model.layers.37.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
351
+ "model.layers.37.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
352
+ "model.layers.37.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
353
+ "model.layers.37.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
354
+ "model.layers.37.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
355
+ "model.layers.37.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
356
+ "model.layers.37.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
357
+ "model.layers.37.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
358
+ "model.layers.37.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
359
+ "model.layers.37.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
360
+ "model.layers.38.input_layernorm.weight": "model-00004-of-00004.safetensors",
361
+ "model.layers.38.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
362
+ "model.layers.38.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
363
+ "model.layers.38.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
364
+ "model.layers.38.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
365
+ "model.layers.38.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
366
+ "model.layers.38.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
367
+ "model.layers.38.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
368
+ "model.layers.38.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
369
+ "model.layers.38.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
370
+ "model.layers.38.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
371
+ "model.layers.39.input_layernorm.weight": "model-00004-of-00004.safetensors",
372
+ "model.layers.39.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
373
+ "model.layers.39.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
374
+ "model.layers.39.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
375
+ "model.layers.39.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
376
+ "model.layers.39.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
377
+ "model.layers.39.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
378
+ "model.layers.39.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
379
+ "model.layers.39.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
380
+ "model.layers.39.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
381
+ "model.layers.39.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
382
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.40.input_layernorm.weight": "model-00004-of-00004.safetensors",
394
+ "model.layers.40.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
395
+ "model.layers.40.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
396
+ "model.layers.40.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
397
+ "model.layers.40.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
398
+ "model.layers.40.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
399
+ "model.layers.40.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
400
+ "model.layers.40.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
401
+ "model.layers.40.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
402
+ "model.layers.40.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
403
+ "model.layers.40.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
404
+ "model.layers.41.input_layernorm.weight": "model-00004-of-00004.safetensors",
405
+ "model.layers.41.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
406
+ "model.layers.41.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
407
+ "model.layers.41.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
408
+ "model.layers.41.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
409
+ "model.layers.41.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
410
+ "model.layers.41.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
411
+ "model.layers.41.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
412
+ "model.layers.41.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
413
+ "model.layers.41.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
414
+ "model.layers.41.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
415
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
416
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
417
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
418
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
419
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
420
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
421
+ "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
422
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
423
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
424
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
425
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
426
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
427
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
428
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
429
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
430
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
431
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
432
+ "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
433
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
434
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
435
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
436
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
437
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
438
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
439
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
440
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
441
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
442
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
443
+ "model.layers.7.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
444
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
445
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
446
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
448
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
449
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
450
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
451
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
452
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
453
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
454
+ "model.layers.8.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
455
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
456
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
457
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
458
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
459
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
460
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
461
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
462
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
463
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
464
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
465
+ "model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
466
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
467
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
468
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
469
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
470
+ "model.norm.weight": "model-00004-of-00004.safetensors"
471
+ }
472
+ }
final/special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
final/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
3
+ size 34362873
final/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
3
+ size 4241003