Upload folder using huggingface_hub
Browse files- README.md +123 -0
- config.json +28 -0
- mergekit_config.yml +95 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +35 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +47 -0
README.md
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# final_merge_ja_e57b_tydija
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088 as a base.
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### Models Merged
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The following models were included in the merge:
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* ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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base_model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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dtype: bfloat16
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merge_method: dare_ties
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parameters:
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int8_mask: 1.0
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normalize: 1.0
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slices:
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- sources:
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- layer_range: [0, 4]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 0.9567125290278002
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weight: 0.7329399429419414
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- layer_range: [0, 4]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 1.0
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weight: 0.6175016127199866
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- sources:
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- layer_range: [4, 8]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 0.7351530312710608
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weight: 0.9361918263111237
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- layer_range: [4, 8]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 1.0
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weight: 0.6261500333536962
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- sources:
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- layer_range: [8, 12]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 1.0
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weight: 0.38219531855733224
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- layer_range: [8, 12]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 0.9560023967707558
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weight: 0.4847363738604221
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- sources:
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- layer_range: [12, 16]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 1.0
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weight: 0.9760238855152437
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- layer_range: [12, 16]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 0.9962392996911643
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weight: 0.6535045223316338
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- sources:
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- layer_range: [16, 20]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 1.0
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weight: 0.32930274558082606
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- layer_range: [16, 20]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 0.9095162947498548
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weight: 0.7439598517576353
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- sources:
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- layer_range: [20, 24]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 0.756559714204041
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weight: 0.44719009636986334
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- layer_range: [20, 24]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 1.0
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weight: 0.348213220068222
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- sources:
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- layer_range: [24, 28]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 1.0
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weight: 0.5663144522369852
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- layer_range: [24, 28]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 1.0
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weight: 0.5221351804388025
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- sources:
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- layer_range: [28, 32]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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parameters:
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density: 1.0
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weight: 0.3974171827818004
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- layer_range: [28, 32]
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model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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parameters:
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density: 0.9839795858964644
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weight: 0.2576111697863762
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```
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config.json
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{
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"_name_or_path": "./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088",
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"architectures": [
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"MistralForCausalLM"
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],
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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_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.0",
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"use_cache": false,
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"vocab_size": 32000
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}
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mergekit_config.yml
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base_model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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dtype: bfloat16
|
3 |
+
merge_method: dare_ties
|
4 |
+
parameters:
|
5 |
+
int8_mask: 1.0
|
6 |
+
normalize: 1.0
|
7 |
+
slices:
|
8 |
+
- sources:
|
9 |
+
- layer_range: [0, 4]
|
10 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
11 |
+
parameters:
|
12 |
+
density: 0.9567125290278002
|
13 |
+
weight: 0.7329399429419414
|
14 |
+
- layer_range: [0, 4]
|
15 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
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+
parameters:
|
17 |
+
density: 1.0
|
18 |
+
weight: 0.6175016127199866
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19 |
+
- sources:
|
20 |
+
- layer_range: [4, 8]
|
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+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
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+
parameters:
|
23 |
+
density: 0.7351530312710608
|
24 |
+
weight: 0.9361918263111237
|
25 |
+
- layer_range: [4, 8]
|
26 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
27 |
+
parameters:
|
28 |
+
density: 1.0
|
29 |
+
weight: 0.6261500333536962
|
30 |
+
- sources:
|
31 |
+
- layer_range: [8, 12]
|
32 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
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parameters:
|
34 |
+
density: 1.0
|
35 |
+
weight: 0.38219531855733224
|
36 |
+
- layer_range: [8, 12]
|
37 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
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parameters:
|
39 |
+
density: 0.9560023967707558
|
40 |
+
weight: 0.4847363738604221
|
41 |
+
- sources:
|
42 |
+
- layer_range: [12, 16]
|
43 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
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+
parameters:
|
45 |
+
density: 1.0
|
46 |
+
weight: 0.9760238855152437
|
47 |
+
- layer_range: [12, 16]
|
48 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
49 |
+
parameters:
|
50 |
+
density: 0.9962392996911643
|
51 |
+
weight: 0.6535045223316338
|
52 |
+
- sources:
|
53 |
+
- layer_range: [16, 20]
|
54 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
55 |
+
parameters:
|
56 |
+
density: 1.0
|
57 |
+
weight: 0.32930274558082606
|
58 |
+
- layer_range: [16, 20]
|
59 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
60 |
+
parameters:
|
61 |
+
density: 0.9095162947498548
|
62 |
+
weight: 0.7439598517576353
|
63 |
+
- sources:
|
64 |
+
- layer_range: [20, 24]
|
65 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
66 |
+
parameters:
|
67 |
+
density: 0.756559714204041
|
68 |
+
weight: 0.44719009636986334
|
69 |
+
- layer_range: [20, 24]
|
70 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
71 |
+
parameters:
|
72 |
+
density: 1.0
|
73 |
+
weight: 0.348213220068222
|
74 |
+
- sources:
|
75 |
+
- layer_range: [24, 28]
|
76 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
77 |
+
parameters:
|
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+
density: 1.0
|
79 |
+
weight: 0.5663144522369852
|
80 |
+
- layer_range: [24, 28]
|
81 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
82 |
+
parameters:
|
83 |
+
density: 1.0
|
84 |
+
weight: 0.5221351804388025
|
85 |
+
- sources:
|
86 |
+
- layer_range: [28, 32]
|
87 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
|
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+
parameters:
|
89 |
+
density: 1.0
|
90 |
+
weight: 0.3974171827818004
|
91 |
+
- layer_range: [28, 32]
|
92 |
+
model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
|
93 |
+
parameters:
|
94 |
+
density: 0.9839795858964644
|
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+
weight: 0.2576111697863762
|
model-00001-of-00003.safetensors
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size 4886547008
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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+
"</s>"
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],
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"bos_token": {
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"content": "<s>",
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"single_word": false
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},
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"eos_token": {
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},
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"content": "</s>",
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|
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"single_word": false
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"unk_token": {
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|
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}
|
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}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,47 @@
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{
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"add_bos_token": true,
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"add_eos_token": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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|
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"single_word": false,
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"special": true
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},
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"1": {
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"single_word": false,
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"special": true
|
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}
|
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"additional_special_tokens": [
|
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"<unk>",
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"<s>",
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"</s>"
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],
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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