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ai-modelscope
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README.md
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README.md
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---
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license: Apache License 2.0
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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license: apache-2.0
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---
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### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
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#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
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# Multilingual Medicine: Model, Dataset, Benchmark, Code
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SDK下载
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```bash
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#安装ModelScope
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pip install modelscope
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```
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```python
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#SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('FreedomIntelligence/Apollo-0.5B')
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```
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Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/FreedomIntelligence/Apollo-0.5B.git
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```
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Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
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<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
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<p align="center">
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👨🏻💻<a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Github</a> •📃 <a href="https://arxiv.org/abs/2403.03640" target="_blank">Paper</a> • 🌐 <a href="https://apollo.llmzoo.com/" target="_blank">Demo</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a>
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<br> <a href="./README_zh.md"> 中文 </a> | <a href="./README.md"> English
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</p>
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## 🌈 Update
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* **[2024.04.25]** [MedJamba](https://huggingface.co/FreedomIntelligence/Apollo-MedJamba) released, train and evaluation code refer to [repo](https://github.com/FreedomIntelligence/MedJamba).
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* **[2024.03.07]** [Paper](https://arxiv.org/abs/2403.03640) released.
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* **[2024.02.12]** <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> and <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a> is published！🎉
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* **[2024.01.23]** Apollo repo is published！🎉
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## Results
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🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-0.5B" target="_blank">Apollo-0.5B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-1.8B" target="_blank">Apollo-1.8B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-2B" target="_blank">Apollo-2B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-6B" target="_blank">Apollo-6B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-7B" target="_blank">Apollo-7B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-34B" target="_blank">Apollo-34B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-72B" target="_blank">Apollo-72B</a>
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🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-MedJamba" target="_blank">MedJamba</a>
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🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-0.5B-GGUF" target="_blank">Apollo-0.5B-GGUF</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-2B-GGUF" target="_blank">Apollo-2B-GGUF</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-6B-GGUF" target="_blank">Apollo-6B-GGUF</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF" target="_blank">Apollo-7B-GGUF</a>
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## Usage Format
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User:{query}\nAssistant:{response}<|endoftext|>
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## Dataset & Evaluation
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- Dataset
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🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a>
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<details><summary>Click to expand</summary>
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- [Zip File](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus/blob/main/ApolloCorpus.zip)
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- [Data category](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus/tree/main/train)
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- Pretrain:
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- data item:
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- json_name: {data_source}_{language}_{data_type}.json
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- data_type: medicalBook, medicalGuideline, medicalPaper, medicalWeb(from online forum), medicalWiki
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- language: en(English), zh(chinese), es(spanish), fr(french), hi(Hindi)
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- data_type: qa(generated qa from text)
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- data_type==text: list of string
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```
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[
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"string1",
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"string2",
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...
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]
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```
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- data_type==qa: list of qa pairs(list of string)
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```
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[
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[
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"q1",
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"a1",
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"q2",
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"a2",
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...
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],
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...
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]
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```
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- SFT:
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- json_name: {data_source}_{language}.json
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- data_type: code, general, math, medicalExam, medicalPatient
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- data item: list of qa pairs(list of string)
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```
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[
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[
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"q1",
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"a1",
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"q2",
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"a2",
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...
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],
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...
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]
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```
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</details>
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- Evaluation
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🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a>
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<details><summary>Click to expand</summary>
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- EN:
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- [MedQA-USMLE](https://huggingface.co/datasets/GBaker/MedQA-USMLE-4-options)
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- [MedMCQA](https://huggingface.co/datasets/medmcqa/viewer/default/test)
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- [PubMedQA](https://huggingface.co/datasets/pubmed_qa): Because the results fluctuated too much, they were not used in the paper.
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- [MMLU-Medical](https://huggingface.co/datasets/cais/mmlu)
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- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
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- ZH:
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- [MedQA-MCMLE](https://huggingface.co/datasets/bigbio/med_qa/viewer/med_qa_zh_4options_bigbio_qa/test)
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- [CMB-single](https://huggingface.co/datasets/FreedomIntelligence/CMB): Not used in the paper
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- Randomly sample 2,000 multiple-choice questions with single answer.
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- [CMMLU-Medical](https://huggingface.co/datasets/haonan-li/cmmlu)
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- Anatomy, Clinical_knowledge, College_medicine, Genetics, Nutrition, Traditional_chinese_medicine, Virology
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- [CExam](https://github.com/williamliujl/CMExam): Not used in the paper
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- Randomly sample 2,000 multiple-choice questions
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- ES: [Head_qa](https://huggingface.co/datasets/head_qa)
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- FR: [Frenchmedmcqa](https://github.com/qanastek/FrenchMedMCQA)
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- HI: [MMLU_HI](https://huggingface.co/datasets/FreedomIntelligence/MMLU_Arabic)
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- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
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- AR: [MMLU_Ara](https://huggingface.co/datasets/FreedomIntelligence/MMLU_Hindi)
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- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
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</details>
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## Results reproduction
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<details><summary>Click to expand</summary>
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**Waiting for Update**
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</details>
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## Citation
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Please use the following citation if you intend to use our dataset for training or evaluation:
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```
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@misc{wang2024apollo,
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title={Apollo: Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People},
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author={Xidong Wang and Nuo Chen and Junyin Chen and Yan Hu and Yidong Wang and Xiangbo Wu and Anningzhe Gao and Xiang Wan and Haizhou Li and Benyou Wang},
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year={2024},
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eprint={2403.03640},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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