{
 "id": "tyang816/MedChatZH",
 "owner": "tyang816",
 "name": "MedChatZH",
 "downloads": 106,
 "likes": 38,
 "last_modified": "2026-09-02T15:11:32.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "@article{tan2024medchatzh,\n  title={MedChatZH: A tuning LLM for traditional Chinese medicine consultations},\n  author={Tan, Yang and Zhang, Zhixing and Li, Mingchen and Pan, Fei and Duan, Hao and Huang, Zijie and Deng, Hua and Yu, Zhuohang and Yang, Chen and Shen, Guoyang and others},\n  journal={Computers in Biology and Medicine},\n  pages={108290},\n  year={2024},\n  publisher={Elsevier}\n}",
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 "revision": "c3ec8b78a39f103e8b608a44d092baea00485769",
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