YangXiao-nlp commited on
Commit
1624919
·
verified ·
1 Parent(s): b73d1ce

Add files using upload-large-folder tool

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ 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
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 5120,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 27648,
12
+ "max_position_embeddings": 32768,
13
+ "max_window_layers": 70,
14
+ "model_type": "qwen2",
15
+ "num_attention_heads": 40,
16
+ "num_hidden_layers": 64,
17
+ "num_key_value_heads": 8,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": 131072,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.49.0",
25
+ "use_cache": false,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 152064
28
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.49.0"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:026b10ef0affa65462299519643703289b4b8cc79c579232c9b9223110c536f2
3
+ size 4891730992
model-00002-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2208c35b72f3f8f2764375ecc9796e4fea86f98dff905c3273b35c8aae083d9
3
+ size 4876059352
model-00003-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9650a4ae7dcea64bf06cb6c92d048a1a851980a3334892cbf6ed724ba3081915
3
+ size 4876059384
model-00004-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:055c9b32be6641701a98138336ea49e7f8e17f7df1dde94282d98c52db4224d1
3
+ size 4876059416
model-00005-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8302bbbd833243393313301f72c8957b1ec4e7a5b0f259ada245638ce5f63b3e
3
+ size 4876059416
model-00006-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e6a466ca90351058606e5f2ef0e818c7c177acaf7d152bb032f06ad16df3590
3
+ size 4876059416
model-00007-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af6ff8570449c647d022df3ee56f83a5077e7071fa34a4ab60eb707cea1a4c15
3
+ size 4876059416
model-00008-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:168ff26fff6bcdd720e8bc7f8eda9072307596d2c07c7f6f91f15b1db7655d29
3
+ size 4876059416
model-00009-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e90bf95967688ee67d2545497b5bc9c80b711ce97f1e494065382ab31c945be8
3
+ size 4876059416
model-00010-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42fa303c3abc803ecee1bf893c5e454def7c03fc6cb4ddf5aa30d4c3c14fe1da
3
+ size 4876059416
model-00011-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0f77bbc561c7a455c5a6c9400d69dd422a10fe7b0cb12ac01059186289cb79c
3
+ size 4876059416
model-00012-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2227888e679948337feeb93ee8ee92e80b6cfc95577a65243c6b7a6bf40358b
3
+ size 4876059416
model-00013-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45c75cc58a34b5155be0b5eb1defeac91d2f150b2ca7b049a2586165ad211482
3
+ size 4876059416
model-00014-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44904c4e7c6bf4ad00759cb410079e6ff07c005c62085c8261d99684d1fcbb3
3
+ size 2123397800
model.safetensors.index.json ADDED
@@ -0,0 +1,778 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 65527752704
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00014-of-00014.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00014.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00014.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00014.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00014.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00014.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00014.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00014.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00014.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00014.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00014.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00014.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00014.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00014.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00014.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00014.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00014.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00014.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00006-of-00014.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00014.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00014.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00014.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00014.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
260
+ "model.layers.28.input_layernorm.weight": "model-00007-of-00014.safetensors",
261
+ "model.layers.28.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
262
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
263
+ "model.layers.28.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
264
+ "model.layers.28.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
265
+ "model.layers.28.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
266
+ "model.layers.28.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
267
+ "model.layers.28.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
268
+ "model.layers.28.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
269
+ "model.layers.28.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
270
+ "model.layers.28.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
271
+ "model.layers.28.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
272
+ "model.layers.29.input_layernorm.weight": "model-00007-of-00014.safetensors",
273
+ "model.layers.29.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
274
+ "model.layers.29.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
275
+ "model.layers.29.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
276
+ "model.layers.29.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
277
+ "model.layers.29.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
278
+ "model.layers.29.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
279
+ "model.layers.29.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
280
+ "model.layers.29.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
281
+ "model.layers.29.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
282
+ "model.layers.29.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
283
+ "model.layers.29.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
284
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00014.safetensors",
285
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
286
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
287
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
288
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
289
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
290
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
291
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
292
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
293
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
294
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
295
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
296
+ "model.layers.30.input_layernorm.weight": "model-00007-of-00014.safetensors",
297
+ "model.layers.30.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
298
+ "model.layers.30.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
299
+ "model.layers.30.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
300
+ "model.layers.30.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
301
+ "model.layers.30.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
302
+ "model.layers.30.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
303
+ "model.layers.30.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
304
+ "model.layers.30.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
305
+ "model.layers.30.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
306
+ "model.layers.30.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
307
+ "model.layers.30.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
308
+ "model.layers.31.input_layernorm.weight": "model-00007-of-00014.safetensors",
309
+ "model.layers.31.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
310
+ "model.layers.31.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
311
+ "model.layers.31.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
312
+ "model.layers.31.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
313
+ "model.layers.31.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
314
+ "model.layers.31.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
315
+ "model.layers.31.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
316
+ "model.layers.31.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
317
+ "model.layers.31.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
318
+ "model.layers.31.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
319
+ "model.layers.31.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
320
+ "model.layers.32.input_layernorm.weight": "model-00007-of-00014.safetensors",
321
+ "model.layers.32.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
322
+ "model.layers.32.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
323
+ "model.layers.32.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
324
+ "model.layers.32.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
325
+ "model.layers.32.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
326
+ "model.layers.32.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
327
+ "model.layers.32.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
328
+ "model.layers.32.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
329
+ "model.layers.32.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
330
+ "model.layers.32.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
331
+ "model.layers.32.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
332
+ "model.layers.33.input_layernorm.weight": "model-00008-of-00014.safetensors",
333
+ "model.layers.33.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
334
+ "model.layers.33.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
335
+ "model.layers.33.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
336
+ "model.layers.33.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
337
+ "model.layers.33.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
338
+ "model.layers.33.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
339
+ "model.layers.33.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
340
+ "model.layers.33.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
341
+ "model.layers.33.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
342
+ "model.layers.33.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
343
+ "model.layers.33.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
344
+ "model.layers.34.input_layernorm.weight": "model-00008-of-00014.safetensors",
345
+ "model.layers.34.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
346
+ "model.layers.34.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
347
+ "model.layers.34.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
348
+ "model.layers.34.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
349
+ "model.layers.34.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
350
+ "model.layers.34.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
351
+ "model.layers.34.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
352
+ "model.layers.34.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
353
+ "model.layers.34.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
354
+ "model.layers.34.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
355
+ "model.layers.34.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
356
+ "model.layers.35.input_layernorm.weight": "model-00008-of-00014.safetensors",
357
+ "model.layers.35.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
358
+ "model.layers.35.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
359
+ "model.layers.35.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
360
+ "model.layers.35.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
361
+ "model.layers.35.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
362
+ "model.layers.35.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
363
+ "model.layers.35.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
364
+ "model.layers.35.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
365
+ "model.layers.35.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
366
+ "model.layers.35.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
367
+ "model.layers.35.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
368
+ "model.layers.36.input_layernorm.weight": "model-00008-of-00014.safetensors",
369
+ "model.layers.36.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
370
+ "model.layers.36.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
371
+ "model.layers.36.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
372
+ "model.layers.36.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
373
+ "model.layers.36.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
374
+ "model.layers.36.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
375
+ "model.layers.36.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
376
+ "model.layers.36.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
377
+ "model.layers.36.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
378
+ "model.layers.36.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
379
+ "model.layers.36.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
380
+ "model.layers.37.input_layernorm.weight": "model-00008-of-00014.safetensors",
381
+ "model.layers.37.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
382
+ "model.layers.37.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
383
+ "model.layers.37.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
384
+ "model.layers.37.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
385
+ "model.layers.37.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
386
+ "model.layers.37.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
387
+ "model.layers.37.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
388
+ "model.layers.37.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
389
+ "model.layers.37.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
390
+ "model.layers.37.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
391
+ "model.layers.37.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
392
+ "model.layers.38.input_layernorm.weight": "model-00009-of-00014.safetensors",
393
+ "model.layers.38.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
394
+ "model.layers.38.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
395
+ "model.layers.38.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
396
+ "model.layers.38.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
397
+ "model.layers.38.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
398
+ "model.layers.38.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
399
+ "model.layers.38.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
400
+ "model.layers.38.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
401
+ "model.layers.38.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
402
+ "model.layers.38.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
403
+ "model.layers.38.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
404
+ "model.layers.39.input_layernorm.weight": "model-00009-of-00014.safetensors",
405
+ "model.layers.39.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
406
+ "model.layers.39.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
407
+ "model.layers.39.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
408
+ "model.layers.39.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
409
+ "model.layers.39.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
410
+ "model.layers.39.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
411
+ "model.layers.39.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
412
+ "model.layers.39.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
413
+ "model.layers.39.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
414
+ "model.layers.39.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
415
+ "model.layers.39.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
416
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00014.safetensors",
417
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
418
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
419
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
420
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
421
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
422
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
423
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
424
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
425
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
426
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
427
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
428
+ "model.layers.40.input_layernorm.weight": "model-00009-of-00014.safetensors",
429
+ "model.layers.40.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
430
+ "model.layers.40.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
431
+ "model.layers.40.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
432
+ "model.layers.40.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
433
+ "model.layers.40.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
434
+ "model.layers.40.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
435
+ "model.layers.40.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
436
+ "model.layers.40.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
437
+ "model.layers.40.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
438
+ "model.layers.40.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
439
+ "model.layers.40.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
440
+ "model.layers.41.input_layernorm.weight": "model-00009-of-00014.safetensors",
441
+ "model.layers.41.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
442
+ "model.layers.41.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
443
+ "model.layers.41.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
444
+ "model.layers.41.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
445
+ "model.layers.41.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
446
+ "model.layers.41.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
447
+ "model.layers.41.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
448
+ "model.layers.41.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
449
+ "model.layers.41.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
450
+ "model.layers.41.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
451
+ "model.layers.41.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
452
+ "model.layers.42.input_layernorm.weight": "model-00009-of-00014.safetensors",
453
+ "model.layers.42.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
454
+ "model.layers.42.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
455
+ "model.layers.42.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
456
+ "model.layers.42.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
457
+ "model.layers.42.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
458
+ "model.layers.42.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
459
+ "model.layers.42.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
460
+ "model.layers.42.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
461
+ "model.layers.42.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
462
+ "model.layers.42.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
463
+ "model.layers.42.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
464
+ "model.layers.43.input_layernorm.weight": "model-00010-of-00014.safetensors",
465
+ "model.layers.43.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
466
+ "model.layers.43.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
467
+ "model.layers.43.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
468
+ "model.layers.43.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
469
+ "model.layers.43.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
470
+ "model.layers.43.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
471
+ "model.layers.43.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
472
+ "model.layers.43.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
473
+ "model.layers.43.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
474
+ "model.layers.43.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
475
+ "model.layers.43.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
476
+ "model.layers.44.input_layernorm.weight": "model-00010-of-00014.safetensors",
477
+ "model.layers.44.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
478
+ "model.layers.44.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
479
+ "model.layers.44.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
480
+ "model.layers.44.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
481
+ "model.layers.44.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
482
+ "model.layers.44.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
483
+ "model.layers.44.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
484
+ "model.layers.44.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
485
+ "model.layers.44.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
486
+ "model.layers.44.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
487
+ "model.layers.44.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
488
+ "model.layers.45.input_layernorm.weight": "model-00010-of-00014.safetensors",
489
+ "model.layers.45.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
490
+ "model.layers.45.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
491
+ "model.layers.45.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
492
+ "model.layers.45.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
493
+ "model.layers.45.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
494
+ "model.layers.45.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
495
+ "model.layers.45.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
496
+ "model.layers.45.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
497
+ "model.layers.45.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
498
+ "model.layers.45.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
499
+ "model.layers.45.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
500
+ "model.layers.46.input_layernorm.weight": "model-00010-of-00014.safetensors",
501
+ "model.layers.46.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
502
+ "model.layers.46.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
503
+ "model.layers.46.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
504
+ "model.layers.46.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
505
+ "model.layers.46.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
506
+ "model.layers.46.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
507
+ "model.layers.46.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
508
+ "model.layers.46.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
509
+ "model.layers.46.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
510
+ "model.layers.46.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
511
+ "model.layers.46.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
512
+ "model.layers.47.input_layernorm.weight": "model-00010-of-00014.safetensors",
513
+ "model.layers.47.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
514
+ "model.layers.47.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
515
+ "model.layers.47.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
516
+ "model.layers.47.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
517
+ "model.layers.47.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
518
+ "model.layers.47.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
519
+ "model.layers.47.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
520
+ "model.layers.47.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
521
+ "model.layers.47.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
522
+ "model.layers.47.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
523
+ "model.layers.47.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
524
+ "model.layers.48.input_layernorm.weight": "model-00011-of-00014.safetensors",
525
+ "model.layers.48.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
526
+ "model.layers.48.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
527
+ "model.layers.48.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
528
+ "model.layers.48.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
529
+ "model.layers.48.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
530
+ "model.layers.48.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
531
+ "model.layers.48.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
532
+ "model.layers.48.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
533
+ "model.layers.48.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
534
+ "model.layers.48.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
535
+ "model.layers.48.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
536
+ "model.layers.49.input_layernorm.weight": "model-00011-of-00014.safetensors",
537
+ "model.layers.49.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
538
+ "model.layers.49.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
539
+ "model.layers.49.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
540
+ "model.layers.49.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
541
+ "model.layers.49.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
542
+ "model.layers.49.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
543
+ "model.layers.49.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
544
+ "model.layers.49.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
545
+ "model.layers.49.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
546
+ "model.layers.49.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
547
+ "model.layers.49.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
548
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00014.safetensors",
549
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
550
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
551
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
552
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
553
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
554
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
555
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
556
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
557
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
558
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
559
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
560
+ "model.layers.50.input_layernorm.weight": "model-00011-of-00014.safetensors",
561
+ "model.layers.50.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
562
+ "model.layers.50.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
563
+ "model.layers.50.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
564
+ "model.layers.50.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
565
+ "model.layers.50.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
566
+ "model.layers.50.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
567
+ "model.layers.50.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
568
+ "model.layers.50.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
569
+ "model.layers.50.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
570
+ "model.layers.50.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
571
+ "model.layers.50.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
572
+ "model.layers.51.input_layernorm.weight": "model-00011-of-00014.safetensors",
573
+ "model.layers.51.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
574
+ "model.layers.51.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
575
+ "model.layers.51.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
576
+ "model.layers.51.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
577
+ "model.layers.51.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
578
+ "model.layers.51.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
579
+ "model.layers.51.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
580
+ "model.layers.51.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
581
+ "model.layers.51.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
582
+ "model.layers.51.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
583
+ "model.layers.51.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
584
+ "model.layers.52.input_layernorm.weight": "model-00011-of-00014.safetensors",
585
+ "model.layers.52.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
586
+ "model.layers.52.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
587
+ "model.layers.52.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
588
+ "model.layers.52.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
589
+ "model.layers.52.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
590
+ "model.layers.52.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
591
+ "model.layers.52.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
592
+ "model.layers.52.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
593
+ "model.layers.52.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
594
+ "model.layers.52.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
595
+ "model.layers.52.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
596
+ "model.layers.53.input_layernorm.weight": "model-00012-of-00014.safetensors",
597
+ "model.layers.53.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
598
+ "model.layers.53.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
599
+ "model.layers.53.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
600
+ "model.layers.53.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
601
+ "model.layers.53.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
602
+ "model.layers.53.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
603
+ "model.layers.53.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
604
+ "model.layers.53.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
605
+ "model.layers.53.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
606
+ "model.layers.53.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
607
+ "model.layers.53.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
608
+ "model.layers.54.input_layernorm.weight": "model-00012-of-00014.safetensors",
609
+ "model.layers.54.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
610
+ "model.layers.54.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
611
+ "model.layers.54.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
612
+ "model.layers.54.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
613
+ "model.layers.54.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
614
+ "model.layers.54.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
615
+ "model.layers.54.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
616
+ "model.layers.54.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
617
+ "model.layers.54.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
618
+ "model.layers.54.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
619
+ "model.layers.54.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
620
+ "model.layers.55.input_layernorm.weight": "model-00012-of-00014.safetensors",
621
+ "model.layers.55.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
622
+ "model.layers.55.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
623
+ "model.layers.55.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
624
+ "model.layers.55.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
625
+ "model.layers.55.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
626
+ "model.layers.55.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
627
+ "model.layers.55.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
628
+ "model.layers.55.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
629
+ "model.layers.55.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
630
+ "model.layers.55.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
631
+ "model.layers.55.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
632
+ "model.layers.56.input_layernorm.weight": "model-00012-of-00014.safetensors",
633
+ "model.layers.56.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
634
+ "model.layers.56.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
635
+ "model.layers.56.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
636
+ "model.layers.56.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
637
+ "model.layers.56.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
638
+ "model.layers.56.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
639
+ "model.layers.56.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
640
+ "model.layers.56.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
641
+ "model.layers.56.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
642
+ "model.layers.56.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
643
+ "model.layers.56.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
644
+ "model.layers.57.input_layernorm.weight": "model-00012-of-00014.safetensors",
645
+ "model.layers.57.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
646
+ "model.layers.57.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
647
+ "model.layers.57.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
648
+ "model.layers.57.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
649
+ "model.layers.57.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
650
+ "model.layers.57.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
651
+ "model.layers.57.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
652
+ "model.layers.57.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
653
+ "model.layers.57.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
654
+ "model.layers.57.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
655
+ "model.layers.57.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
656
+ "model.layers.58.input_layernorm.weight": "model-00013-of-00014.safetensors",
657
+ "model.layers.58.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
658
+ "model.layers.58.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
659
+ "model.layers.58.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
660
+ "model.layers.58.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
661
+ "model.layers.58.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
662
+ "model.layers.58.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
663
+ "model.layers.58.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
664
+ "model.layers.58.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
665
+ "model.layers.58.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
666
+ "model.layers.58.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
667
+ "model.layers.58.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
668
+ "model.layers.59.input_layernorm.weight": "model-00013-of-00014.safetensors",
669
+ "model.layers.59.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
670
+ "model.layers.59.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
671
+ "model.layers.59.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
672
+ "model.layers.59.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
673
+ "model.layers.59.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
674
+ "model.layers.59.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
675
+ "model.layers.59.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
676
+ "model.layers.59.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
677
+ "model.layers.59.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
678
+ "model.layers.59.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
679
+ "model.layers.59.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
680
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00014.safetensors",
681
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
682
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
683
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
684
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
685
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
686
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
687
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
688
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
689
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
690
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
691
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
692
+ "model.layers.60.input_layernorm.weight": "model-00013-of-00014.safetensors",
693
+ "model.layers.60.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
694
+ "model.layers.60.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
695
+ "model.layers.60.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
696
+ "model.layers.60.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
697
+ "model.layers.60.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
698
+ "model.layers.60.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
699
+ "model.layers.60.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
700
+ "model.layers.60.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
701
+ "model.layers.60.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
702
+ "model.layers.60.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
703
+ "model.layers.60.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
704
+ "model.layers.61.input_layernorm.weight": "model-00013-of-00014.safetensors",
705
+ "model.layers.61.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
706
+ "model.layers.61.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
707
+ "model.layers.61.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
708
+ "model.layers.61.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
709
+ "model.layers.61.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
710
+ "model.layers.61.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
711
+ "model.layers.61.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
712
+ "model.layers.61.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
713
+ "model.layers.61.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
714
+ "model.layers.61.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
715
+ "model.layers.61.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
716
+ "model.layers.62.input_layernorm.weight": "model-00013-of-00014.safetensors",
717
+ "model.layers.62.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
718
+ "model.layers.62.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
719
+ "model.layers.62.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
720
+ "model.layers.62.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
721
+ "model.layers.62.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
722
+ "model.layers.62.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
723
+ "model.layers.62.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
724
+ "model.layers.62.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
725
+ "model.layers.62.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
726
+ "model.layers.62.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
727
+ "model.layers.62.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
728
+ "model.layers.63.input_layernorm.weight": "model-00014-of-00014.safetensors",
729
+ "model.layers.63.mlp.down_proj.weight": "model-00014-of-00014.safetensors",
730
+ "model.layers.63.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
731
+ "model.layers.63.mlp.up_proj.weight": "model-00014-of-00014.safetensors",
732
+ "model.layers.63.post_attention_layernorm.weight": "model-00014-of-00014.safetensors",
733
+ "model.layers.63.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
734
+ "model.layers.63.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
735
+ "model.layers.63.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
736
+ "model.layers.63.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
737
+ "model.layers.63.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
738
+ "model.layers.63.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
739
+ "model.layers.63.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
740
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00014.safetensors",
741
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
742
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
743
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
744
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
745
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
746
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
747
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
748
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
749
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
750
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
751
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
752
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00014.safetensors",
753
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
754
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
755
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
756
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
757
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
758
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
759
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
760
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
761
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
762
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
763
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
764
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00014.safetensors",
765
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
766
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
767
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
768
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
769
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
770
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
771
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
772
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
773
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
774
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
775
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
776
+ "model.norm.weight": "model-00014-of-00014.safetensors"
777
+ }
778
+ }
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9280e4caecbe4b136a3495e2b9cca27cda6e11665f12b3b57371ec819f24562b
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 23000,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
trainer_state.json ADDED
@@ -0,0 +1,1573 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.875,
5
+ "eval_steps": 500,
6
+ "global_step": 220,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03125,
13
+ "grad_norm": 2.2394336497968363,
14
+ "learning_rate": 4.99987952239832e-06,
15
+ "loss": 0.5298,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0625,
20
+ "grad_norm": 1.740164276561001,
21
+ "learning_rate": 4.999518101205162e-06,
22
+ "loss": 0.3808,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.09375,
27
+ "grad_norm": 1.0986511897661202,
28
+ "learning_rate": 4.998915771255054e-06,
29
+ "loss": 0.4084,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.125,
34
+ "grad_norm": 0.9909665868124784,
35
+ "learning_rate": 4.998072590601808e-06,
36
+ "loss": 0.4519,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.15625,
41
+ "grad_norm": 0.8707901845900359,
42
+ "learning_rate": 4.996988640512931e-06,
43
+ "loss": 0.3661,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.1875,
48
+ "grad_norm": 0.8281058863167303,
49
+ "learning_rate": 4.99566402546179e-06,
50
+ "loss": 0.446,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.21875,
55
+ "grad_norm": 0.6430636455930517,
56
+ "learning_rate": 4.99409887311754e-06,
57
+ "loss": 0.41,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.25,
62
+ "grad_norm": 0.6401620888566166,
63
+ "learning_rate": 4.992293334332821e-06,
64
+ "loss": 0.3417,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.28125,
69
+ "grad_norm": 0.6789953401375264,
70
+ "learning_rate": 4.990247583129219e-06,
71
+ "loss": 0.3184,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.3125,
76
+ "grad_norm": 0.6666322339922938,
77
+ "learning_rate": 4.987961816680493e-06,
78
+ "loss": 0.3705,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.34375,
83
+ "grad_norm": 0.605694167260075,
84
+ "learning_rate": 4.985436255293571e-06,
85
+ "loss": 0.4175,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.375,
90
+ "grad_norm": 0.5636874361093738,
91
+ "learning_rate": 4.982671142387316e-06,
92
+ "loss": 0.3418,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.40625,
97
+ "grad_norm": 0.5383819643599538,
98
+ "learning_rate": 4.979666744469065e-06,
99
+ "loss": 0.3598,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.4375,
104
+ "grad_norm": 0.5149272148576994,
105
+ "learning_rate": 4.976423351108943e-06,
106
+ "loss": 0.3488,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.46875,
111
+ "grad_norm": 0.6707806575261855,
112
+ "learning_rate": 4.972941274911953e-06,
113
+ "loss": 0.3219,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.5,
118
+ "grad_norm": 0.5334614805882701,
119
+ "learning_rate": 4.9692208514878445e-06,
120
+ "loss": 0.3084,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.53125,
125
+ "grad_norm": 0.4618784605737609,
126
+ "learning_rate": 4.965262439418772e-06,
127
+ "loss": 0.2874,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.5625,
132
+ "grad_norm": 0.5721238012337726,
133
+ "learning_rate": 4.961066420224729e-06,
134
+ "loss": 0.344,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.59375,
139
+ "grad_norm": 0.4165484302490015,
140
+ "learning_rate": 4.95663319832678e-06,
141
+ "loss": 0.2634,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.625,
146
+ "grad_norm": 0.5820109920395683,
147
+ "learning_rate": 4.9519632010080765e-06,
148
+ "loss": 0.3757,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.65625,
153
+ "grad_norm": 0.6700687637578895,
154
+ "learning_rate": 4.947056878372681e-06,
155
+ "loss": 0.3269,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.6875,
160
+ "grad_norm": 0.6924817738571202,
161
+ "learning_rate": 4.941914703302181e-06,
162
+ "loss": 0.3455,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.71875,
167
+ "grad_norm": 0.6710140492879704,
168
+ "learning_rate": 4.9365371714101125e-06,
169
+ "loss": 0.3484,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.75,
174
+ "grad_norm": 0.4799672671377543,
175
+ "learning_rate": 4.930924800994192e-06,
176
+ "loss": 0.2684,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.78125,
181
+ "grad_norm": 0.5055935562066771,
182
+ "learning_rate": 4.925078132986361e-06,
183
+ "loss": 0.3241,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.8125,
188
+ "grad_norm": 0.4813125247659047,
189
+ "learning_rate": 4.91899773090065e-06,
190
+ "loss": 0.3423,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.84375,
195
+ "grad_norm": 0.5560310753021765,
196
+ "learning_rate": 4.912684180778869e-06,
197
+ "loss": 0.3657,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.875,
202
+ "grad_norm": 0.48171901776229475,
203
+ "learning_rate": 4.906138091134118e-06,
204
+ "loss": 0.3216,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.90625,
209
+ "grad_norm": 0.42369283722005974,
210
+ "learning_rate": 4.899360092892144e-06,
211
+ "loss": 0.3163,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.9375,
216
+ "grad_norm": 0.524728101631975,
217
+ "learning_rate": 4.8923508393305224e-06,
218
+ "loss": 0.3408,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.96875,
223
+ "grad_norm": 0.4063805418469225,
224
+ "learning_rate": 4.885111006015702e-06,
225
+ "loss": 0.2803,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 1.0,
230
+ "grad_norm": 0.44407841545113647,
231
+ "learning_rate": 4.8776412907378845e-06,
232
+ "loss": 0.296,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 1.03125,
237
+ "grad_norm": 0.4423143989195224,
238
+ "learning_rate": 4.869942413443777e-06,
239
+ "loss": 0.3118,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 1.0625,
244
+ "grad_norm": 0.46073261979647195,
245
+ "learning_rate": 4.862015116167195e-06,
246
+ "loss": 0.3178,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 1.09375,
251
+ "grad_norm": 0.4688369735828424,
252
+ "learning_rate": 4.8538601629575525e-06,
253
+ "loss": 0.2897,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 1.125,
258
+ "grad_norm": 0.4284697832466092,
259
+ "learning_rate": 4.845478339806211e-06,
260
+ "loss": 0.285,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 1.15625,
265
+ "grad_norm": 0.39817183870518563,
266
+ "learning_rate": 4.836870454570732e-06,
267
+ "loss": 0.2738,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 1.1875,
272
+ "grad_norm": 0.5010876930979401,
273
+ "learning_rate": 4.828037336897009e-06,
274
+ "loss": 0.2747,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 1.21875,
279
+ "grad_norm": 0.42604579765626815,
280
+ "learning_rate": 4.8189798381393105e-06,
281
+ "loss": 0.3109,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 1.25,
286
+ "grad_norm": 0.41157008816282203,
287
+ "learning_rate": 4.809698831278217e-06,
288
+ "loss": 0.2681,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 1.28125,
293
+ "grad_norm": 0.36744775321321765,
294
+ "learning_rate": 4.800195210836488e-06,
295
+ "loss": 0.2469,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 1.3125,
300
+ "grad_norm": 0.38947720902026384,
301
+ "learning_rate": 4.79046989279284e-06,
302
+ "loss": 0.2324,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 1.34375,
307
+ "grad_norm": 0.42310974390248596,
308
+ "learning_rate": 4.780523814493669e-06,
309
+ "loss": 0.2654,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 1.375,
314
+ "grad_norm": 0.39744333584037517,
315
+ "learning_rate": 4.770357934562704e-06,
316
+ "loss": 0.2411,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 1.40625,
321
+ "grad_norm": 0.44279738030538934,
322
+ "learning_rate": 4.759973232808609e-06,
323
+ "loss": 0.281,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 1.4375,
328
+ "grad_norm": 0.3914368627497957,
329
+ "learning_rate": 4.7493707101305545e-06,
330
+ "loss": 0.2423,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 1.46875,
335
+ "grad_norm": 0.4319870734337111,
336
+ "learning_rate": 4.738551388421743e-06,
337
+ "loss": 0.2334,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 1.5,
342
+ "grad_norm": 0.4251155801268978,
343
+ "learning_rate": 4.72751631047092e-06,
344
+ "loss": 0.2688,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 1.53125,
349
+ "grad_norm": 0.41965617223551865,
350
+ "learning_rate": 4.716266539861867e-06,
351
+ "loss": 0.288,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 1.5625,
356
+ "grad_norm": 0.3891378701055059,
357
+ "learning_rate": 4.704803160870888e-06,
358
+ "loss": 0.2818,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 1.59375,
363
+ "grad_norm": 0.3888595960872248,
364
+ "learning_rate": 4.693127278362311e-06,
365
+ "loss": 0.2354,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 1.625,
370
+ "grad_norm": 0.4016619714514077,
371
+ "learning_rate": 4.681240017681994e-06,
372
+ "loss": 0.2562,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 1.65625,
377
+ "grad_norm": 0.5121471946559132,
378
+ "learning_rate": 4.669142524548861e-06,
379
+ "loss": 0.2476,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 1.6875,
384
+ "grad_norm": 0.4633480737331638,
385
+ "learning_rate": 4.65683596494448e-06,
386
+ "loss": 0.2681,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 1.71875,
391
+ "grad_norm": 0.4013796153387593,
392
+ "learning_rate": 4.644321525000681e-06,
393
+ "loss": 0.2424,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 1.75,
398
+ "grad_norm": 0.9238636643109417,
399
+ "learning_rate": 4.631600410885231e-06,
400
+ "loss": 0.2235,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 1.78125,
405
+ "grad_norm": 0.5108292775568174,
406
+ "learning_rate": 4.618673848685586e-06,
407
+ "loss": 0.2656,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 1.8125,
412
+ "grad_norm": 0.4083379408887923,
413
+ "learning_rate": 4.605543084290716e-06,
414
+ "loss": 0.2451,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 1.84375,
419
+ "grad_norm": 0.43539867698309076,
420
+ "learning_rate": 4.592209383271023e-06,
421
+ "loss": 0.2735,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 1.875,
426
+ "grad_norm": 0.3638102430175956,
427
+ "learning_rate": 4.578674030756364e-06,
428
+ "loss": 0.2441,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 1.90625,
433
+ "grad_norm": 0.45746025113403654,
434
+ "learning_rate": 4.564938331312183e-06,
435
+ "loss": 0.2711,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 1.9375,
440
+ "grad_norm": 0.3828705185761755,
441
+ "learning_rate": 4.551003608813784e-06,
442
+ "loss": 0.2689,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 1.96875,
447
+ "grad_norm": 0.7723878548213299,
448
+ "learning_rate": 4.536871206318724e-06,
449
+ "loss": 0.2646,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 2.0,
454
+ "grad_norm": 0.4119966458262975,
455
+ "learning_rate": 4.522542485937369e-06,
456
+ "loss": 0.2581,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 2.03125,
461
+ "grad_norm": 0.34415181939181905,
462
+ "learning_rate": 4.508018828701613e-06,
463
+ "loss": 0.2112,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 2.0625,
468
+ "grad_norm": 0.4091277177709592,
469
+ "learning_rate": 4.493301634431768e-06,
470
+ "loss": 0.2325,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 2.09375,
475
+ "grad_norm": 0.3166321134445452,
476
+ "learning_rate": 4.4783923216016515e-06,
477
+ "loss": 0.1796,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 2.125,
482
+ "grad_norm": 0.3482541384421591,
483
+ "learning_rate": 4.463292327201862e-06,
484
+ "loss": 0.2126,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 2.15625,
489
+ "grad_norm": 0.3628052220535386,
490
+ "learning_rate": 4.448003106601292e-06,
491
+ "loss": 0.1823,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 2.1875,
496
+ "grad_norm": 0.4035919217048586,
497
+ "learning_rate": 4.432526133406843e-06,
498
+ "loss": 0.1895,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 2.21875,
503
+ "grad_norm": 0.5165078405158365,
504
+ "learning_rate": 4.416862899321404e-06,
505
+ "loss": 0.2387,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 2.25,
510
+ "grad_norm": 0.4429767351171174,
511
+ "learning_rate": 4.401014914000078e-06,
512
+ "loss": 0.2372,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 2.28125,
517
+ "grad_norm": 0.542713434284815,
518
+ "learning_rate": 4.384983704904674e-06,
519
+ "loss": 0.2047,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 2.3125,
524
+ "grad_norm": 0.7431203126973699,
525
+ "learning_rate": 4.368770817156493e-06,
526
+ "loss": 0.1969,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 2.34375,
531
+ "grad_norm": 0.42767478217888505,
532
+ "learning_rate": 4.352377813387398e-06,
533
+ "loss": 0.2212,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 2.375,
538
+ "grad_norm": 0.4186278371414481,
539
+ "learning_rate": 4.335806273589214e-06,
540
+ "loss": 0.2352,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 2.40625,
545
+ "grad_norm": 0.3673245542378708,
546
+ "learning_rate": 4.319057794961437e-06,
547
+ "loss": 0.1682,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 2.4375,
552
+ "grad_norm": 0.4202626242980855,
553
+ "learning_rate": 4.3021339917572975e-06,
554
+ "loss": 0.2005,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 2.46875,
559
+ "grad_norm": 0.34611554658143534,
560
+ "learning_rate": 4.285036495128171e-06,
561
+ "loss": 0.1638,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 2.5,
566
+ "grad_norm": 0.4130916633006024,
567
+ "learning_rate": 4.267766952966369e-06,
568
+ "loss": 0.262,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 2.53125,
573
+ "grad_norm": 0.3825732844394237,
574
+ "learning_rate": 4.250327029746309e-06,
575
+ "loss": 0.2107,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 2.5625,
580
+ "grad_norm": 0.5304304939674155,
581
+ "learning_rate": 4.2327184063640905e-06,
582
+ "loss": 0.1824,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 2.59375,
587
+ "grad_norm": 0.3721970337050105,
588
+ "learning_rate": 4.2149427799754825e-06,
589
+ "loss": 0.2022,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 2.625,
594
+ "grad_norm": 0.48998201951971176,
595
+ "learning_rate": 4.197001863832355e-06,
596
+ "loss": 0.2099,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 2.65625,
601
+ "grad_norm": 0.3708581437412575,
602
+ "learning_rate": 4.178897387117547e-06,
603
+ "loss": 0.1799,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 2.6875,
608
+ "grad_norm": 0.42462919503218965,
609
+ "learning_rate": 4.160631094778205e-06,
610
+ "loss": 0.2037,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 2.71875,
615
+ "grad_norm": 0.37645767525187157,
616
+ "learning_rate": 4.142204747357604e-06,
617
+ "loss": 0.1803,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 2.75,
622
+ "grad_norm": 0.4093657454888683,
623
+ "learning_rate": 4.123620120825459e-06,
624
+ "loss": 0.2133,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 2.78125,
629
+ "grad_norm": 0.47695453907098256,
630
+ "learning_rate": 4.104879006406758e-06,
631
+ "loss": 0.1889,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 2.8125,
636
+ "grad_norm": 0.3945066509872425,
637
+ "learning_rate": 4.085983210409114e-06,
638
+ "loss": 0.2112,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 2.84375,
643
+ "grad_norm": 0.37745415339235017,
644
+ "learning_rate": 4.0669345540486745e-06,
645
+ "loss": 0.2007,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 2.875,
650
+ "grad_norm": 0.4607310898061174,
651
+ "learning_rate": 4.047734873274586e-06,
652
+ "loss": 0.2257,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 2.90625,
657
+ "grad_norm": 0.420700842549809,
658
+ "learning_rate": 4.0283860185920415e-06,
659
+ "loss": 0.2006,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 2.9375,
664
+ "grad_norm": 0.3875612398615003,
665
+ "learning_rate": 4.0088898548839285e-06,
666
+ "loss": 0.193,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 2.96875,
671
+ "grad_norm": 0.45432379635664477,
672
+ "learning_rate": 3.989248261231084e-06,
673
+ "loss": 0.2082,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 3.0,
678
+ "grad_norm": 0.354128163601168,
679
+ "learning_rate": 3.969463130731183e-06,
680
+ "loss": 0.1765,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 3.03125,
685
+ "grad_norm": 0.39612766482379574,
686
+ "learning_rate": 3.949536370316285e-06,
687
+ "loss": 0.1506,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 3.0625,
692
+ "grad_norm": 0.3300469180047683,
693
+ "learning_rate": 3.929469900569031e-06,
694
+ "loss": 0.1848,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 3.09375,
699
+ "grad_norm": 0.38840461255151465,
700
+ "learning_rate": 3.909265655537542e-06,
701
+ "loss": 0.1676,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 3.125,
706
+ "grad_norm": 0.3285461189075836,
707
+ "learning_rate": 3.888925582549006e-06,
708
+ "loss": 0.1365,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 3.15625,
713
+ "grad_norm": 0.5170838354530907,
714
+ "learning_rate": 3.868451642021992e-06,
715
+ "loss": 0.1765,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 3.1875,
720
+ "grad_norm": 0.4041772657051392,
721
+ "learning_rate": 3.847845807277501e-06,
722
+ "loss": 0.1419,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 3.21875,
727
+ "grad_norm": 0.5302128110684335,
728
+ "learning_rate": 3.827110064348774e-06,
729
+ "loss": 0.1666,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 3.25,
734
+ "grad_norm": 0.4660451553905167,
735
+ "learning_rate": 3.806246411789872e-06,
736
+ "loss": 0.1377,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 3.28125,
741
+ "grad_norm": 0.4002753774676628,
742
+ "learning_rate": 3.785256860483054e-06,
743
+ "loss": 0.1306,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 3.3125,
748
+ "grad_norm": 0.45635455587621315,
749
+ "learning_rate": 3.764143433444962e-06,
750
+ "loss": 0.163,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 3.34375,
755
+ "grad_norm": 0.37905637459156455,
756
+ "learning_rate": 3.7429081656316363e-06,
757
+ "loss": 0.1406,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 3.375,
762
+ "grad_norm": 0.36546010104015225,
763
+ "learning_rate": 3.721553103742388e-06,
764
+ "loss": 0.1511,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 3.40625,
769
+ "grad_norm": 0.4594286270535004,
770
+ "learning_rate": 3.7000803060225284e-06,
771
+ "loss": 0.1305,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 3.4375,
776
+ "grad_norm": 0.40651366787823534,
777
+ "learning_rate": 3.6784918420649952e-06,
778
+ "loss": 0.1529,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 3.46875,
783
+ "grad_norm": 0.5440044921202766,
784
+ "learning_rate": 3.656789792610876e-06,
785
+ "loss": 0.1513,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 3.5,
790
+ "grad_norm": 0.4821069073470484,
791
+ "learning_rate": 3.634976249348867e-06,
792
+ "loss": 0.1716,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 3.53125,
797
+ "grad_norm": 0.6498760363990219,
798
+ "learning_rate": 3.613053314713671e-06,
799
+ "loss": 0.1533,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 3.5625,
804
+ "grad_norm": 0.4250290395428464,
805
+ "learning_rate": 3.591023101683355e-06,
806
+ "loss": 0.1767,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 3.59375,
811
+ "grad_norm": 0.38939149597815365,
812
+ "learning_rate": 3.5688877335757055e-06,
813
+ "loss": 0.1659,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 3.625,
818
+ "grad_norm": 0.43948642504162183,
819
+ "learning_rate": 3.5466493438435707e-06,
820
+ "loss": 0.1462,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 3.65625,
825
+ "grad_norm": 0.4903824604348807,
826
+ "learning_rate": 3.524310075869239e-06,
827
+ "loss": 0.1491,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 3.6875,
832
+ "grad_norm": 0.4657546939224425,
833
+ "learning_rate": 3.5018720827578523e-06,
834
+ "loss": 0.1566,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 3.71875,
839
+ "grad_norm": 0.4756253089988171,
840
+ "learning_rate": 3.47933752712989e-06,
841
+ "loss": 0.1326,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 3.75,
846
+ "grad_norm": 0.6850972684126732,
847
+ "learning_rate": 3.4567085809127247e-06,
848
+ "loss": 0.1401,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 3.78125,
853
+ "grad_norm": 0.39364163187698803,
854
+ "learning_rate": 3.433987425131291e-06,
855
+ "loss": 0.1705,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 3.8125,
860
+ "grad_norm": 0.8491154102878922,
861
+ "learning_rate": 3.4111762496978753e-06,
862
+ "loss": 0.1598,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 3.84375,
867
+ "grad_norm": 0.3779648803711784,
868
+ "learning_rate": 3.3882772532010405e-06,
869
+ "loss": 0.1659,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 3.875,
874
+ "grad_norm": 0.390463984917053,
875
+ "learning_rate": 3.3652926426937327e-06,
876
+ "loss": 0.1497,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 3.90625,
881
+ "grad_norm": 0.39280155164389263,
882
+ "learning_rate": 3.3422246334805504e-06,
883
+ "loss": 0.1517,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 3.9375,
888
+ "grad_norm": 0.3755269188701736,
889
+ "learning_rate": 3.3190754489042343e-06,
890
+ "loss": 0.1392,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 3.96875,
895
+ "grad_norm": 0.3557534616990425,
896
+ "learning_rate": 3.2958473201313744e-06,
897
+ "loss": 0.1732,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 4.0,
902
+ "grad_norm": 0.452729068394037,
903
+ "learning_rate": 3.272542485937369e-06,
904
+ "loss": 0.1304,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 4.03125,
909
+ "grad_norm": 0.45305681837419015,
910
+ "learning_rate": 3.2491631924906418e-06,
911
+ "loss": 0.1207,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 4.0625,
916
+ "grad_norm": 0.4022759878801443,
917
+ "learning_rate": 3.225711693136156e-06,
918
+ "loss": 0.1049,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 4.09375,
923
+ "grad_norm": 0.4288103397748838,
924
+ "learning_rate": 3.2021902481782308e-06,
925
+ "loss": 0.1088,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 4.125,
930
+ "grad_norm": 0.37543034416997534,
931
+ "learning_rate": 3.1786011246626858e-06,
932
+ "loss": 0.1151,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 4.15625,
937
+ "grad_norm": 0.4949259404136992,
938
+ "learning_rate": 3.1549465961583436e-06,
939
+ "loss": 0.1342,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 4.1875,
944
+ "grad_norm": 0.5089415457753128,
945
+ "learning_rate": 3.131228942537895e-06,
946
+ "loss": 0.1011,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 4.21875,
951
+ "grad_norm": 0.4458186626680738,
952
+ "learning_rate": 3.10745044975816e-06,
953
+ "loss": 0.1244,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 4.25,
958
+ "grad_norm": 0.470168570137067,
959
+ "learning_rate": 3.0836134096397642e-06,
960
+ "loss": 0.1305,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 4.28125,
965
+ "grad_norm": 0.3665739173342618,
966
+ "learning_rate": 3.0597201196462467e-06,
967
+ "loss": 0.0973,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 4.3125,
972
+ "grad_norm": 0.34951065919116203,
973
+ "learning_rate": 3.035772882662627e-06,
974
+ "loss": 0.1087,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 4.34375,
979
+ "grad_norm": 0.39558552323317786,
980
+ "learning_rate": 3.0117740067734496e-06,
981
+ "loss": 0.1227,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 4.375,
986
+ "grad_norm": 0.38865489898187766,
987
+ "learning_rate": 2.9877258050403214e-06,
988
+ "loss": 0.1117,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 4.40625,
993
+ "grad_norm": 0.3661757548934599,
994
+ "learning_rate": 2.9636305952789775e-06,
995
+ "loss": 0.1104,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 4.4375,
1000
+ "grad_norm": 0.3637528683552047,
1001
+ "learning_rate": 2.939490699835887e-06,
1002
+ "loss": 0.1285,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 4.46875,
1007
+ "grad_norm": 0.49782839811269636,
1008
+ "learning_rate": 2.915308445364414e-06,
1009
+ "loss": 0.1151,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 4.5,
1014
+ "grad_norm": 0.4510644225332588,
1015
+ "learning_rate": 2.8910861626005774e-06,
1016
+ "loss": 0.0908,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 4.53125,
1021
+ "grad_norm": 0.42204924035077557,
1022
+ "learning_rate": 2.8668261861384045e-06,
1023
+ "loss": 0.1103,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 4.5625,
1028
+ "grad_norm": 0.4092078682229767,
1029
+ "learning_rate": 2.8425308542049208e-06,
1030
+ "loss": 0.102,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 4.59375,
1035
+ "grad_norm": 0.4377811123358122,
1036
+ "learning_rate": 2.8182025084347835e-06,
1037
+ "loss": 0.1019,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 4.625,
1042
+ "grad_norm": 0.40430035219965416,
1043
+ "learning_rate": 2.7938434936445946e-06,
1044
+ "loss": 0.1215,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 4.65625,
1049
+ "grad_norm": 0.41793422453606693,
1050
+ "learning_rate": 2.7694561576068983e-06,
1051
+ "loss": 0.0995,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 4.6875,
1056
+ "grad_norm": 0.4094291043597894,
1057
+ "learning_rate": 2.7450428508239024e-06,
1058
+ "loss": 0.1157,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 4.71875,
1063
+ "grad_norm": 0.46702497217402006,
1064
+ "learning_rate": 2.7206059263009245e-06,
1065
+ "loss": 0.1035,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 4.75,
1070
+ "grad_norm": 0.4265298988852787,
1071
+ "learning_rate": 2.696147739319613e-06,
1072
+ "loss": 0.1161,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 4.78125,
1077
+ "grad_norm": 0.39560706745129126,
1078
+ "learning_rate": 2.671670647210934e-06,
1079
+ "loss": 0.0934,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 4.8125,
1084
+ "grad_norm": 0.45750798547925925,
1085
+ "learning_rate": 2.6471770091279725e-06,
1086
+ "loss": 0.1198,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 4.84375,
1091
+ "grad_norm": 0.4135822172423458,
1092
+ "learning_rate": 2.6226691858185454e-06,
1093
+ "loss": 0.0993,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 4.875,
1098
+ "grad_norm": 0.3881797560141128,
1099
+ "learning_rate": 2.5981495393976718e-06,
1100
+ "loss": 0.1148,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 4.90625,
1105
+ "grad_norm": 0.42849991504445745,
1106
+ "learning_rate": 2.5736204331199087e-06,
1107
+ "loss": 0.1103,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 4.9375,
1112
+ "grad_norm": 0.40236517866109184,
1113
+ "learning_rate": 2.5490842311515706e-06,
1114
+ "loss": 0.1342,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 4.96875,
1119
+ "grad_norm": 0.43341169220800396,
1120
+ "learning_rate": 2.5245432983428746e-06,
1121
+ "loss": 0.1157,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 5.0,
1126
+ "grad_norm": 0.34584354992172495,
1127
+ "learning_rate": 2.5e-06,
1128
+ "loss": 0.0859,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 5.03125,
1133
+ "grad_norm": 0.4143904072465387,
1134
+ "learning_rate": 2.4754567016571263e-06,
1135
+ "loss": 0.0754,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 5.0625,
1140
+ "grad_norm": 0.3919204276591812,
1141
+ "learning_rate": 2.45091576884843e-06,
1142
+ "loss": 0.0779,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 5.09375,
1147
+ "grad_norm": 0.36564792990584655,
1148
+ "learning_rate": 2.426379566880092e-06,
1149
+ "loss": 0.0846,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 5.125,
1154
+ "grad_norm": 0.529521055415997,
1155
+ "learning_rate": 2.4018504606023295e-06,
1156
+ "loss": 0.0844,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 5.15625,
1161
+ "grad_norm": 0.431451074610151,
1162
+ "learning_rate": 2.377330814181455e-06,
1163
+ "loss": 0.0786,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 5.1875,
1168
+ "grad_norm": 0.7684174507597721,
1169
+ "learning_rate": 2.3528229908720275e-06,
1170
+ "loss": 0.0844,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 5.21875,
1175
+ "grad_norm": 0.44474891738541866,
1176
+ "learning_rate": 2.3283293527890662e-06,
1177
+ "loss": 0.0815,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 5.25,
1182
+ "grad_norm": 0.43540222849729127,
1183
+ "learning_rate": 2.3038522606803882e-06,
1184
+ "loss": 0.0772,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 5.28125,
1189
+ "grad_norm": 0.372712057692664,
1190
+ "learning_rate": 2.2793940736990768e-06,
1191
+ "loss": 0.0805,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 5.3125,
1196
+ "grad_norm": 0.4448901557779222,
1197
+ "learning_rate": 2.2549571491760985e-06,
1198
+ "loss": 0.0761,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 5.34375,
1203
+ "grad_norm": 0.3863228908718508,
1204
+ "learning_rate": 2.2305438423931017e-06,
1205
+ "loss": 0.0644,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 5.375,
1210
+ "grad_norm": 0.39062361374554433,
1211
+ "learning_rate": 2.2061565063554063e-06,
1212
+ "loss": 0.0684,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 5.40625,
1217
+ "grad_norm": 0.40361146609711873,
1218
+ "learning_rate": 2.1817974915652174e-06,
1219
+ "loss": 0.0814,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 5.4375,
1224
+ "grad_norm": 0.43921414806678843,
1225
+ "learning_rate": 2.1574691457950805e-06,
1226
+ "loss": 0.0822,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 5.46875,
1231
+ "grad_norm": 0.44480838697237224,
1232
+ "learning_rate": 2.133173813861596e-06,
1233
+ "loss": 0.0866,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 5.5,
1238
+ "grad_norm": 0.42051348090512747,
1239
+ "learning_rate": 2.1089138373994226e-06,
1240
+ "loss": 0.071,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 5.53125,
1245
+ "grad_norm": 0.3983612848583139,
1246
+ "learning_rate": 2.084691554635587e-06,
1247
+ "loss": 0.0838,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 5.5625,
1252
+ "grad_norm": 0.4911594568608088,
1253
+ "learning_rate": 2.0605093001641138e-06,
1254
+ "loss": 0.0809,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 5.59375,
1259
+ "grad_norm": 0.41760316408981346,
1260
+ "learning_rate": 2.036369404721023e-06,
1261
+ "loss": 0.0691,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 5.625,
1266
+ "grad_norm": 0.47280852373511856,
1267
+ "learning_rate": 2.01227419495968e-06,
1268
+ "loss": 0.0811,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 5.65625,
1273
+ "grad_norm": 0.39986092972135084,
1274
+ "learning_rate": 1.9882259932265513e-06,
1275
+ "loss": 0.0717,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 5.6875,
1280
+ "grad_norm": 0.40904716656384654,
1281
+ "learning_rate": 1.964227117337374e-06,
1282
+ "loss": 0.0982,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 5.71875,
1287
+ "grad_norm": 0.3996787578567523,
1288
+ "learning_rate": 1.940279880353754e-06,
1289
+ "loss": 0.0883,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 5.75,
1294
+ "grad_norm": 0.5625574567447781,
1295
+ "learning_rate": 1.9163865903602374e-06,
1296
+ "loss": 0.0871,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 5.78125,
1301
+ "grad_norm": 0.386964669236494,
1302
+ "learning_rate": 1.8925495502418407e-06,
1303
+ "loss": 0.0635,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 5.8125,
1308
+ "grad_norm": 0.40351438572982834,
1309
+ "learning_rate": 1.8687710574621051e-06,
1310
+ "loss": 0.0681,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 5.84375,
1315
+ "grad_norm": 0.4228827894009542,
1316
+ "learning_rate": 1.8450534038416568e-06,
1317
+ "loss": 0.0659,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 5.875,
1322
+ "grad_norm": 0.3712122399780234,
1323
+ "learning_rate": 1.8213988753373147e-06,
1324
+ "loss": 0.0671,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 5.90625,
1329
+ "grad_norm": 0.43867000444079457,
1330
+ "learning_rate": 1.7978097518217705e-06,
1331
+ "loss": 0.0731,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 5.9375,
1336
+ "grad_norm": 0.6740106312876709,
1337
+ "learning_rate": 1.7742883068638447e-06,
1338
+ "loss": 0.0714,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 5.96875,
1343
+ "grad_norm": 0.4228466835838196,
1344
+ "learning_rate": 1.7508368075093584e-06,
1345
+ "loss": 0.0819,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 6.0,
1350
+ "grad_norm": 0.3563426355737081,
1351
+ "learning_rate": 1.7274575140626318e-06,
1352
+ "loss": 0.0548,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 6.03125,
1357
+ "grad_norm": 0.4910211429767737,
1358
+ "learning_rate": 1.7041526798686258e-06,
1359
+ "loss": 0.0864,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 6.0625,
1364
+ "grad_norm": 0.5006110615030569,
1365
+ "learning_rate": 1.6809245510957667e-06,
1366
+ "loss": 0.0654,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 6.09375,
1371
+ "grad_norm": 0.3502324650817108,
1372
+ "learning_rate": 1.6577753665194502e-06,
1373
+ "loss": 0.0658,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 6.125,
1378
+ "grad_norm": 0.5999695575705828,
1379
+ "learning_rate": 1.634707357306267e-06,
1380
+ "loss": 0.0451,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 6.15625,
1385
+ "grad_norm": 0.4785665941529937,
1386
+ "learning_rate": 1.6117227467989605e-06,
1387
+ "loss": 0.0546,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 6.1875,
1392
+ "grad_norm": 0.5095514480098127,
1393
+ "learning_rate": 1.588823750302126e-06,
1394
+ "loss": 0.0624,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 6.21875,
1399
+ "grad_norm": 0.47258708232050645,
1400
+ "learning_rate": 1.5660125748687094e-06,
1401
+ "loss": 0.0568,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 6.25,
1406
+ "grad_norm": 0.4103151403943041,
1407
+ "learning_rate": 1.5432914190872757e-06,
1408
+ "loss": 0.0547,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 6.28125,
1413
+ "grad_norm": 0.40314839324043505,
1414
+ "learning_rate": 1.5206624728701103e-06,
1415
+ "loss": 0.0568,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 6.3125,
1420
+ "grad_norm": 0.43007255326114996,
1421
+ "learning_rate": 1.4981279172421481e-06,
1422
+ "loss": 0.0608,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 6.34375,
1427
+ "grad_norm": 0.35567074942204735,
1428
+ "learning_rate": 1.4756899241307615e-06,
1429
+ "loss": 0.0439,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 6.375,
1434
+ "grad_norm": 0.4211372568538995,
1435
+ "learning_rate": 1.4533506561564305e-06,
1436
+ "loss": 0.0567,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 6.40625,
1441
+ "grad_norm": 0.3696720423651608,
1442
+ "learning_rate": 1.4311122664242955e-06,
1443
+ "loss": 0.0568,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 6.4375,
1448
+ "grad_norm": 0.32678314141276715,
1449
+ "learning_rate": 1.4089768983166445e-06,
1450
+ "loss": 0.0541,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 6.46875,
1455
+ "grad_norm": 0.5124523798563752,
1456
+ "learning_rate": 1.38694668528633e-06,
1457
+ "loss": 0.0647,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 6.5,
1462
+ "grad_norm": 0.4908724555671687,
1463
+ "learning_rate": 1.3650237506511333e-06,
1464
+ "loss": 0.0512,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 6.53125,
1469
+ "grad_norm": 0.45698703902133064,
1470
+ "learning_rate": 1.343210207389125e-06,
1471
+ "loss": 0.0471,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 6.5625,
1476
+ "grad_norm": 2.0837321278798675,
1477
+ "learning_rate": 1.3215081579350058e-06,
1478
+ "loss": 0.0401,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 6.59375,
1483
+ "grad_norm": 0.44377226616386084,
1484
+ "learning_rate": 1.2999196939774722e-06,
1485
+ "loss": 0.0533,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 6.625,
1490
+ "grad_norm": 0.4148622551357974,
1491
+ "learning_rate": 1.2784468962576136e-06,
1492
+ "loss": 0.043,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 6.65625,
1497
+ "grad_norm": 0.4525924081364697,
1498
+ "learning_rate": 1.2570918343683636e-06,
1499
+ "loss": 0.05,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 6.6875,
1504
+ "grad_norm": 0.48264486607444934,
1505
+ "learning_rate": 1.235856566555039e-06,
1506
+ "loss": 0.071,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 6.71875,
1511
+ "grad_norm": 0.41420210019322223,
1512
+ "learning_rate": 1.214743139516946e-06,
1513
+ "loss": 0.0372,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 6.75,
1518
+ "grad_norm": 0.4521124791878032,
1519
+ "learning_rate": 1.193753588210128e-06,
1520
+ "loss": 0.0473,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 6.78125,
1525
+ "grad_norm": 0.4592162304890299,
1526
+ "learning_rate": 1.1728899356512265e-06,
1527
+ "loss": 0.0552,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 6.8125,
1532
+ "grad_norm": 0.4136741288075781,
1533
+ "learning_rate": 1.1521541927224994e-06,
1534
+ "loss": 0.0431,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 6.84375,
1539
+ "grad_norm": 0.40334351070651664,
1540
+ "learning_rate": 1.1315483579780095e-06,
1541
+ "loss": 0.044,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 6.875,
1546
+ "grad_norm": 0.38291505271607423,
1547
+ "learning_rate": 1.1110744174509952e-06,
1548
+ "loss": 0.0452,
1549
+ "step": 220
1550
+ }
1551
+ ],
1552
+ "logging_steps": 1,
1553
+ "max_steps": 320,
1554
+ "num_input_tokens_seen": 0,
1555
+ "num_train_epochs": 10,
1556
+ "save_steps": 20,
1557
+ "stateful_callbacks": {
1558
+ "TrainerControl": {
1559
+ "args": {
1560
+ "should_epoch_stop": false,
1561
+ "should_evaluate": false,
1562
+ "should_log": false,
1563
+ "should_save": true,
1564
+ "should_training_stop": false
1565
+ },
1566
+ "attributes": {}
1567
+ }
1568
+ },
1569
+ "total_flos": 220852321255424.0,
1570
+ "train_batch_size": 1,
1571
+ "trial_name": null,
1572
+ "trial_params": null
1573
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d90aa83713724549f5e304bba980c43933f8390284acad860147c2a71ca11134
3
+ size 7608
vocab.json ADDED
The diff for this file is too large to render. See raw diff