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https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese.git
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Update README
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README_EN.md
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README_EN.md
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This repo open-sources the Instruct-tuned LLaMA-7B model that has been fine-tuned with Chinese medical instructions. We constructed a Chinese medical instruct-tuning dataset using medical knowledge graphs and the GPT3.5 API, and performed instruction-tuning on LLaMA based on this dataset, improving its question-answering performance in the medical field.
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We also trained a medical version of ChatGLM: [ChatGLM-6B-Med](https://github.com/SCIR-HI/Med-ChatGLM) based on the same data.
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We are about to release our new model [扁鹊(PienChueh)](https://github.com/SCIR-HI/Bian-Que_Pien-Chueh).
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## A Quick Start
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## Contributors
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This project was founded by the Health Intelligence Group of the Research Center for Social Computing and Information Retrieval at Harbin Institute of Technology, including [Haochun Wang](https://github.com/s65b40) and [Chi Liu](https://github.com/thinksoso), supervised by Associate Professor Sendong Zhao, Professor Bing Qin, and Professor Ting Liu.
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This project was founded by the Health Intelligence Group of the Research Center for Social Computing and Information Retrieval at Harbin Institute of Technology, including [Haochun Wang](https://github.com/s65b40), [Chi Liu](https://github.com/thinksoso), [Nuwa Xi](https://github.com/rootnx), [Zewen Qiang](https://github.com/1278882181), [Zijian Li](https://github.com/FlowolfzzZ) supervised by Associate Professor Sendong Zhao, Professor Bing Qin, and Professor Ting Liu.
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## Acknowledgements
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If you use the data or code from this project, please declare the reference:
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```
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@misc{huatuo,
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author={Haochun Wang, Chi Liu, Sendong Zhao, Bing Qin, Ting Liu},
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title = {HuaTuo: Tuning LLaMA Model With Chinese Medical Instructions},
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year = {2023},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese}},
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@misc{wang2023huatuo,
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title={HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge},
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author={Haochun Wang and Chi Liu and Nuwa Xi and Zewen Qiang and Sendong Zhao and Bing Qin and Ting Liu},
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year={2023},
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eprint={2304.06975},
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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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