初始化项目，由ModelHub XC社区提供模型
Model: EQUES/MedLLama3-JP-v2 Source: Original Platform
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README.md
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---
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library_name: transformers
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tags:
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- medical
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- merge
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license: llama3
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language:
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- ja
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metrics:
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- accuracy
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---
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# Llama3ベースの日本語医療LLM MedLlama3-JP
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このモデルはLlama3の継続学習により作成された４種類のLLMから成るマージモデルです。
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日本語LLMをベースとし、英語の医療LLMをマージすることで日本語での医療知識や医療Q&Aへの回答力を獲得することを目的としています。
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- base :[tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1](https://huggingface.co/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1)
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- [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
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- [Henrychur/MMed-Llama-3-8B](https://huggingface.co/Henrychur/MMed-Llama-3-8B)
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- [elyza/Llama-3-ELYZA-JP-8B](https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B)
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医療目的には利用しないでください。
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本モデルの出力に関してその正確性等を保証しません。
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# 評価
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IgakuQA（日本医師国家試験データセット）の正答率を用いて評価しました。
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評価実験の設定は[IgakuQA](https://github.com/jungokasai/IgakuQA/tree/main/scripts)に従いました。
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GPTモデルのパフォーマンスは[Kasai et al., 2023](https://arxiv.org/pdf/2303.18027)の結果に基づき算出しました。
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| モデル | 正答率 （全2485問） |
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| ---- | ---- |
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| [EQUES/MedLLama3-JP-v2](https://huggingface.co/EQUES/MedLLama3-JP-v2) | 46.6% |
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| [tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1](https://huggingface.co/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1) | 42.2% |
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| [elyza/Llama-3-ELYZA-JP-8B](https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B) | 43.9% |
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| ---- | ---- |
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| GPT-4 | 78.2% |
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| ChatGPT | 54.9% |
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| GPT-3 | 42.1% |
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また、セクションごとの正答率をプロットした図が以下です。マージモデルがマージ元のモデルの良い所取りをしている傾向が窺えます。
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## Usage
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```
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pip install transformers vllm
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```
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```python
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from transformers import AutoTokenizer
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from vllm import LLM, SamplingParams
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model_name = "EQUES/MedLLama3-JP-v2"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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llm = LLM(
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model=model_name,
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tensor_parallel_size=1,
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)
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sampling_params = SamplingParams(
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temperature=0.6, top_p=0.9, max_tokens=512, stop="<|eot_id|>"
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)
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message = [
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{"role": "system", "content": <question>},
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{"role": "user","content": <answer>},
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{"role": "system", "content": <question>},
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]
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prompt = tokenizer.apply_chat_template(message, tokenize=False, add_generation_prompt=True)
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output = llm.generate(prompt, sampling_params)
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print(output[0].outputs[0].text)
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```
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## Bias, Risks, and Limitations
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The models released here are still in the early stages of our research and development and have not been tuned to ensure outputs align with human intent and safety considerations.
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## Acknowledgement
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We acknowledge the developers of each base model.
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## How to Cite
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```
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@misc{MedLLama3-JP-v2,
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title={EQUES/MedLLama3-JP-v2},
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url={https://huggingface.co/EQUES/MedLLama3-JP-v2},
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author={Issey Sukeda},
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year={2024},
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}
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```
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config.json
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{
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"_name_or_path": "medmerge2",
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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": 128000,
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"eos_token_id": 128001,
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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": 8192,
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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": 8,
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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": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.2",
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"use_cache": true,
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"vocab_size": 128256
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}
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|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410568
tokenizer.json
Normal file
410568
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2068
tokenizer_config.json
Normal file
2068
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user