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  1. .gitattributes +9 -0
  2. llm_tutorial/eval/results/yans-baseline-qwen2-1.5B-3.5e-5-averaged/last_10.json +0 -0
  3. llm_tutorial/llm_recipes/models/hf-model-eval/.gitattributes +35 -0
  4. llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_en-ja_3M-pairs_3.5e-5/iter_0000698/config.json +29 -0
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  18. llm_tutorial/merged_models/en-ja-base_dare/tokenizer_config.json +18 -0
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  21. llm_tutorial/merged_models/en-ja_ja-en_base_linear/config.json +30 -0
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  25. llm_tutorial/merged_models/en-ja_ja-en_instruct_dare-linear/config.json +30 -0
  26. llm_tutorial/merged_models/en-ja_ja-en_instruct_dare-linear/mergekit_config.yml +12 -0
  27. llm_tutorial/merged_models/en-ja_ja-en_instruct_dare-linear/special_tokens_map.json +51 -0
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  29. llm_tutorial/merged_models/en-ja_ja-en_instruct_linear_0.33/tokenizer_config.json +83 -0
  30. llm_tutorial/merged_models/en-ja_ja-en_instruct_linear_0.5/tokenizer_config.json +84 -0
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llm_tutorial/merged_models/en-ja-base_dare/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
llm_tutorial/merged_models/en-ja-base_dare/tokenizer_config.json ADDED
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1
+ {
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+ "add_bos_token": true,
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+ "add_eos_token": false,
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+ "unk_token": "<unk>",
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+ "bos_token": "<s>",
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+ "eos_token": "</s>",
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+ "pad_token": "<PAD|LLM-jp>",
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+ "cls_token": "<CLS|LLM-jp>",
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+ "sep_token": "<SEP|LLM-jp>",
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+ "eod_token": "</s>",
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+ "mask_token": "<MASK|LLM-jp>",
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+ "extra_ids": 0,
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+ "sp_model_kwargs": {},
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+ "model_max_length": 1000000000000000019884624838656,
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+ "clean_up_tokenization_spaces": false,
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+ "special_tokens_map_file": null,
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+ "tokenizer_class": "PreTrainedTokenizerFast"
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+ }
llm_tutorial/merged_models/en-ja_ja-en_base_linear+instruct/README.md ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: []
3
+ library_name: transformers
4
+ tags:
5
+ - mergekit
6
+ - merge
7
+
8
+ ---
9
+ # en-ja_ja-en_base_linear+instruct
10
+
11
+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
12
+
13
+ ## Merge Details
14
+ ### Merge Method
15
+
16
+ This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
17
+
18
+ ### Models Merged
19
+
20
+ The following models were included in the merge:
21
+ * /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct
22
+ * /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b
23
+ * /home/koiwa/work/llm_tutorial/merged_models/en-ja_ja-en_base_linear
24
+
25
+ ### Configuration
26
+
27
+ The following YAML configuration was used to produce this model:
28
+
29
+ ```yaml
30
+ models:
31
+ - model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b
32
+ parameters:
33
+ weight: -1.0
34
+ - model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct
35
+ parameters:
36
+ weight: 1.0
37
+ - model: /home/koiwa/work/llm_tutorial/merged_models/en-ja_ja-en_base_linear
38
+ parameters:
39
+ weight: 1.0
40
+ merge_method: linear
41
+ dtype: float16
42
+
43
+ ```
llm_tutorial/merged_models/en-ja_ja-en_base_linear+instruct/mergekit_config.yml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ models:
2
+ - model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b
3
+ parameters:
4
+ weight: -1.0
5
+ - model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct
6
+ parameters:
7
+ weight: 1.0
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+ - model: /home/koiwa/work/llm_tutorial/merged_models/en-ja_ja-en_base_linear
9
+ parameters:
10
+ weight: 1.0
11
+ merge_method: linear
12
+ dtype: float16
llm_tutorial/merged_models/en-ja_ja-en_base_linear/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model/llm-jp-v3-3.7b_ja-en_actual_3M-pairs/iter_0000698",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "head_dim": 128,
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+ "hidden_size": 3072,
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+ "intermediate_size": 8192,
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+ "model_type": "llama",
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+ "num_attention_heads": 24,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 24,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
27
+ "transformers_version": "4.46.2",
28
+ "use_cache": true,
29
+ "vocab_size": 99584
30
+ }
llm_tutorial/merged_models/en-ja_ja-en_base_linear/mergekit_config.yml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ models:
2
+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model/llm-jp-v3-3.7b_ja-en_3M-pairs/iter_0000698
3
+ parameters:
4
+ weight: 0.5
5
+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model/llm-jp-v3-3.7b_ja-en_actual_3M-pairs/iter_0000698
6
+ parameters:
7
+ weight: 0.5
8
+ - model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b
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+ parameters:
10
+ weight: 0.5
11
+ merge_method: linear
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+ dtype: float16
llm_tutorial/merged_models/en-ja_ja-en_base_linear/special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "bos_token": {
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+ "normalized": false,
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+ },
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+ "mask_token": {
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+ "content": "<MASK|LLM-jp>",
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+ "lstrip": false,
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+ "normalized": false,
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+ },
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+ "pad_token": {
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+ "content": "<PAD|LLM-jp>",
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+ "lstrip": false,
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+ "normalized": false,
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+ }
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+ }
llm_tutorial/merged_models/en-ja_ja-en_base_linear/tokenizer_config.json ADDED
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+ {
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+ "1": {
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+ "3": {
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+ },
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+ "4": {
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+ },
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+ "5": {
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+ "content": "<CLS|LLM-jp>",
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+ "6": {
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+ "special": true
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+ },
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+ "7": {
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+ "content": "<EOD|LLM-jp>",
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+ }
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+ "eos_token": "</s>",
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+ "extra_ids": 0,
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+ "mask_token": "<MASK|LLM-jp>",
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<PAD|LLM-jp>",
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+ "sep_token": "<SEP|LLM-jp>",
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+ "sp_model_kwargs": {},
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+ "tokenizer_class": "PreTrainedTokenizerFast",
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+ "unk_token": "<unk>"
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+ }
llm_tutorial/merged_models/en-ja_ja-en_instruct_dare-linear/config.json ADDED
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1
+ {
2
+ "_name_or_path": "/work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "num_attention_heads": 24,
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+ "num_key_value_heads": 24,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "transformers_version": "4.46.2",
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+ "use_cache": true,
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+ "vocab_size": 99584
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+ }
llm_tutorial/merged_models/en-ja_ja-en_instruct_dare-linear/mergekit_config.yml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ models:
2
+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model/llm-jp-v3-3.7b_ja-en_3M-pairs/iter_0000698
3
+ parameters:
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+ weight: 0.5
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+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model/llm-jp-v3-3.7b_ja-en_actual_3M-pairs/iter_0000698
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+ parameters:
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+ weight: 0.5
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+ - model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct
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+ parameters:
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+ weight: 0.5
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+ merge_method: linear
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+ dtype: float16
llm_tutorial/merged_models/en-ja_ja-en_instruct_dare-linear/special_tokens_map.json ADDED
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llm_tutorial/merged_models4/ja-en_en-ja_ties01-instruct/README.md ADDED
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1
+ ---
2
+ base_model: []
3
+ library_name: transformers
4
+ tags:
5
+ - mergekit
6
+ - merge
7
+
8
+ ---
9
+ # ja-en_en-ja_ties01-instruct
10
+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
12
+
13
+ ## Merge Details
14
+ ### Merge Method
15
+
16
+ This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct as a base.
17
+
18
+ ### Models Merged
19
+
20
+ The following models were included in the merge:
21
+ * /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_en-ja-instruct_3M-pairs/iter_0000698
22
+ * /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_ja-en-instruct_3M-pairs/iter_0000698
23
+
24
+ ### Configuration
25
+
26
+ The following YAML configuration was used to produce this model:
27
+
28
+ ```yaml
29
+ models:
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+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_ja-en-instruct_3M-pairs/iter_0000698
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+ parameters:
32
+ weight: 0.5
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+ density: 0.1
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+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_en-ja-instruct_3M-pairs/iter_0000698
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+ parameters:
36
+ weight: 0.5
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+ density: 0.1
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+ base_model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct
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+ merge_method: ties
40
+ dtype: float16
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+
42
+ ```
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+ "_name_or_path": "/work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct",
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+ "hidden_size": 3072,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 8192,
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+ "max_position_embeddings": 4096,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 24,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 24,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ }
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+ "3": {
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+ "content": "<MASK|LLM-jp>",
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "4": {
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+ "content": "<PAD|LLM-jp>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "5": {
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+ "content": "<CLS|LLM-jp>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "6": {
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+ "content": "<SEP|LLM-jp>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ "7": {
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+ "content": "<EOD|LLM-jp>",
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "bos_token": "<s>",
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+ "chat_template": "{{bos_token}}{% for message in messages %}{% if message['role'] == 'user' %}{{ '\\n\\n### 指示:\\n' + message['content'] }}{% elif message['role'] == 'system' %}{{ '以下は、タスクを説明する指示です。要求を適切に満たす応答を書きなさい。' }}{% elif message['role'] == 'assistant' %}{{ '\\n\\n### 応答:\\n' + message['content'] + eos_token }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '\\n\\n### 応答:\\n' }}{% endif %}{% endfor %}",
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+ "clean_up_tokenization_spaces": false,
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+ "cls_token": "<CLS|LLM-jp>",
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+ "eod_token": "</s>",
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+ "eos_token": "</s>",
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+ "extra_ids": 0,
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+ "mask_token": "<MASK|LLM-jp>",
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<PAD|LLM-jp>",
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+ "sep_token": "<SEP|LLM-jp>",
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+ "unk_token": "<unk>"
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llm_tutorial/merged_models4/ja-en_en-ja_ties02-instruct/README.md ADDED
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1
+ ---
2
+ base_model: []
3
+ library_name: transformers
4
+ tags:
5
+ - mergekit
6
+ - merge
7
+
8
+ ---
9
+ # ja-en_en-ja_ties02-instruct
10
+
11
+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
12
+
13
+ ## Merge Details
14
+ ### Merge Method
15
+
16
+ This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct as a base.
17
+
18
+ ### Models Merged
19
+
20
+ The following models were included in the merge:
21
+ * /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_en-ja-instruct_3M-pairs/iter_0000698
22
+ * /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_ja-en-instruct_3M-pairs/iter_0000698
23
+
24
+ ### Configuration
25
+
26
+ The following YAML configuration was used to produce this model:
27
+
28
+ ```yaml
29
+ models:
30
+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_ja-en-instruct_3M-pairs/iter_0000698
31
+ parameters:
32
+ weight: 0.5
33
+ density: 0.2
34
+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_en-ja-instruct_3M-pairs/iter_0000698
35
+ parameters:
36
+ weight: 0.5
37
+ density: 0.2
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+ base_model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct
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+ merge_method: ties
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+ dtype: float16
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+
42
+ ```
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+ ---
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+ base_model: []
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+ library_name: transformers
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+ tags:
5
+ - mergekit
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+ - merge
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+
8
+ ---
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+ # ja-en_en-ja_ties04-instruct
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+
11
+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
12
+
13
+ ## Merge Details
14
+ ### Merge Method
15
+
16
+ This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct as a base.
17
+
18
+ ### Models Merged
19
+
20
+ The following models were included in the merge:
21
+ * /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_ja-en-instruct_3M-pairs/iter_0000698
22
+ * /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_en-ja-instruct_3M-pairs/iter_0000698
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+
24
+ ### Configuration
25
+
26
+ The following YAML configuration was used to produce this model:
27
+
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+ ```yaml
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+ models:
30
+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_ja-en-instruct_3M-pairs/iter_0000698
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+ parameters:
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+ weight: 0.5
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+ density: 0.4
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+ - model: /home/koiwa/work/llm_tutorial/llm_recipes/models/hf-model-eval/llm-jp-v3-3.7b_en-ja-instruct_3M-pairs/iter_0000698
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+ parameters:
36
+ weight: 0.5
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+ density: 0.4
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+ base_model: /work01/llm_tutorial/pretrained_lm/llm-jp/llm-jp-v3-3.7b-instruct
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+ merge_method: ties
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+ dtype: float16
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+
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+ ```
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