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Browse files- README.md +109 -0
- config.json +31 -0
- mergekit_config.yml +78 -0
- model-00001-of-00001.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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base_model:
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- Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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- Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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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_model
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* [Nisk36/finetuned-lmsys_vicuna-7b-v1.5](https://huggingface.co/Nisk36/finetuned-lmsys_vicuna-7b-v1.5)
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* [Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct](https://huggingface.co/Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct)
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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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dtype: bfloat16
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merge_method: linear
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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: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.6235769265047518
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- layer_range: [0, 4]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.7274442555681364
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- sources:
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- layer_range: [4, 8]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.5271398694239577
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- layer_range: [4, 8]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.3489250438855029
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- sources:
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- layer_range: [8, 12]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.15496421762028023
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- layer_range: [8, 12]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.541330668871115
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- sources:
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- layer_range: [12, 16]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.5267269624685371
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- layer_range: [12, 16]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.8265113027826562
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- sources:
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- layer_range: [16, 20]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.6599861585345389
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- layer_range: [16, 20]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: -0.249060520039947
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- sources:
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- layer_range: [20, 24]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.7761318532349375
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- layer_range: [20, 24]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.7040995904551324
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- sources:
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- layer_range: [24, 28]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.40152017541360374
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- layer_range: [24, 28]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.767141768059921
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- sources:
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- layer_range: [28, 32]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: -0.004536646708608122
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- layer_range: [28, 32]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.8295357241419378
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```
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config.json
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{
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"_name_or_path": "Nisk36/finetuned-lmsys_vicuna-7b-v1.5",
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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_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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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": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 0,
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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": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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dtype: bfloat16
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merge_method: linear
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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: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.6235769265047518
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- layer_range: [0, 4]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.7274442555681364
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- sources:
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- layer_range: [4, 8]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.5271398694239577
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- layer_range: [4, 8]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.3489250438855029
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- sources:
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+
- layer_range: [8, 12]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.15496421762028023
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- layer_range: [8, 12]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.541330668871115
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- sources:
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+
- layer_range: [12, 16]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.5267269624685371
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- layer_range: [12, 16]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.8265113027826562
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- sources:
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- layer_range: [16, 20]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.6599861585345389
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- layer_range: [16, 20]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: -0.249060520039947
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- sources:
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- layer_range: [20, 24]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.7761318532349375
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- layer_range: [20, 24]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.7040995904551324
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- sources:
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- layer_range: [24, 28]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: 0.40152017541360374
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- layer_range: [24, 28]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.767141768059921
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- sources:
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- layer_range: [28, 32]
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model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
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parameters:
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weight: -0.004536646708608122
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- layer_range: [28, 32]
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model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
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parameters:
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weight: 0.8295357241419378
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model-00001-of-00001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:719309c818d77fcab97502369b029f17f95b51b117dd0397eff207c87197df25
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size 13476865232
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4.4", "total_size": 13476831232}, "weight_map": {"lm_head.weight": "model-00001-of-00001.safetensors", "model.embed_tokens.weight": "model-00001-of-00001.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.10.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.post_attention_layernorm.weight": 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"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.norm.weight": "model-00001-of-00001.safetensors"}}
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special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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1 |
+
{
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2 |
+
"bos_token": {
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3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
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+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
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tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
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|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 4096,
|
36 |
+
"pad_token": "<unk>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|