├── LICENSE └── README.md /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 lirong_wu 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 🔥 开源中文医疗大模型 2 | 3 | ![PRs Welcome](https://img.shields.io/badge/PRs-Welcome-green) [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) ![Stars](https://img.shields.io/github/stars/tyang816/Awesome-TCM-LLM?color=yellow) ![Forks](https://img.shields.io/github/forks/tyang816/Awesome-TCM-LLM?color=blue&label=Fork) 4 | 5 | 本仓库收集了开源中文医疗大模型（中医/西医）相关的资源，包括新闻、论文、模型、数据集等，欢迎大家贡献更多资源。 6 | 7 | ## 📰 新闻 8 | - [2025.06] **中医横琴**垂类大模型正式发布 [[链接](https://www.stdaily.com/web/gdxw/2025-06/20/content_357526.html)] 9 | - [2025.05] 中国中医科学院发布中医药大模型评测标准 [[链接](https://www.news.cn/politics/20250510/5e6a0b4978b44b69b67dbfb7282fd220/c.html)] 10 | - [2025.03] 中国中医科学院广安门医院28日正式发布**广医·岐智**中医大模型，成为国内首家本地化部署“算力+模型+应用”一体化服务的中医医院 [[链接](https://www.xinhuanet.com/tech/20250328/8b1685ad8c6f48c9bdc2add1658edac3/c.html)] 11 | - [2024.03] 华东师范大学、上海中医药大学、华东理工大学、海军军医大学、临港实验室、华润江中现代中药全国重点实验室联合开发了**数智岐黄**中医药大模型。 12 | 13 | ## 📚 资源 14 | 15 | ### 2025 16 | - [*Cell Discovery*] **神农Alpha** 中药大模型 [西湖大学] [[网站](https://shennongalpha.westlake.edu.cn/)] [[论文](https://www.nature.com/articles/s41421-025-00776-2)] [[代码](https://github.com/shennong-program/shennongname)] 17 | - [*Pharmacological Research*] **TCMChat** 中药知识聊天机器人 [浙江大学] [[论文](https://www.sciencedirect.com/science/article/pii/S1043661824004754)] [[代码](https://github.com/ZJUFanLab/TCMChat)] 18 | - [*Tsinghua Science and Technology*] **仲景 (ZhongJing)** 中医大模型 [福耀科技大学，健康长三角研究院，复旦大学，同济大学] [[论文](https://doi.org/10.26599/TST.2025.9010046)] [[代码](https://github.com/pariskang/CMLM-ZhongJing)] 19 | - **ShizhenGPT** 中医多模态大模型 [香港中文大学] [[论文](https://arxiv.org/abs/2508.14706)] [[代码](https://github.com/FreedomIntelligence/ShizhenGPT)] 20 | 21 | ### 2024 22 | - [*Computers in Biology and Medicine*] **MedChatZH** 中医问诊大模型 [华东理工大学] [[论文](https://www.sciencedirect.com/science/article/pii/S0010482524003743)] [[数据集](https://huggingface.co/datasets/tyang816/MedChatZH)] [[模型](https://huggingface.co/tyang816/medchatzh)] [[代码](https://github.com/tyang816/MedChatZH)] 23 | - [*Digital Chinese Medicine*] **TCMLLM** 中医药大模型 [北京交通大学] [[论文](https://www.sciencedirect.com/science/article/pii/S2589377725000072)] [[代码](https://github.com/2020MEAI/TCMLLM)] 24 | - [*ACL findings*] **明医 (MING)** 中文医疗问诊大模型 [上海交通大学] [[论文](https://aclanthology.org/2024.findings-emnlp.619/)] [[代码](https://github.com/MediaBrain-SJTU/MING)] 25 | - [*ACM Trans. Knowl. Discov. Data*] **本草[原名：华驼(HuaTuo)]** 基于中文医学知识的大语言模型指令微调 [哈尔滨工业大学] [[论文](https://arxiv.org/pdf/2309.04175.pdf)] [[代码](https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese)] 26 | - **扁仓 (BianCang)** 系列中医大模型 [齐鲁工业大学] [[论文](https://arxiv.org/abs/2411.11027)] [[代码](https://github.com/QLU-NLP/BianCang)] 27 | - **大数中医 (BigDataTCM)** 中医垂直领域大模型 [河南工业大学] [[代码](https://github.com/HAUT-CS/BigDataTCM)] 28 | - **MCM** 多模态中医药问诊大模型 [上海计算机软件技术开发中心] [[代码](https://github.com/JerryMazeyu/MCM)] 29 | - **Chinese-LLaVA-Med** 中文医学多模态大模型 [[代码](https://github.com/BUAADreamer/Chinese-LLaVA-Med)] 30 | 31 | ### 2023 32 | - [*EMNLP findings*] **华佗GPT** 中文医学语料训练的大型语言模型 [香港中文大学(深圳)，深圳市大数据研究院] [[论文](https://aclanthology.org/2023.findings-emnlp.725/)] [[代码](https://github.com/FreedomIntelligence/HuatuoGPT)] 33 | - **扁鹊 (BianQue)** 中文领域生活空间主动健康大模型 [华南理工大学，广东省数字孪生人重点实验室] [[代码](https://github.com/scutcyr/BianQue)] 34 | - **黄帝 (HuangDi)** 中医古籍知识问答大模型 [南京大学, 郑州大学] [[代码](https://github.com/Zlasejd/HuangDI)] 35 | - **启真医学大模型 (QiZhenGPT)** 中文医疗场景、药品知识问答、优化疾病、手术、检验等 [浙江大学] [[代码](https://github.com/CMKRG/QiZhenGPT)] 36 | - **神农大模型 (ShenNong-TCM-LLM)** 中医药大规模语言模型 [[代码](https://github.com/michael-wzhu/ShenNong-TCM-LLM)] [[数据集](https://huggingface.co/datasets/michaelwzhu/ShenNong_TCM_Dataset)] 37 | - **孙思邈 (Sunsimiao)** 中文医疗大模型 [华东理工大学] [[代码](https://github.com/X-D-Lab/Sunsimiao)] 38 | - **ChatMed** 系列中文医疗大规模语言模型 [[代码](https://github.com/michael-wzhu/ChatMed)] 39 | - **XrayGLM** 会看胸部X光片的中文多模态医学大模型 [澳门理工大学] [[代码](https://github.com/WangRongsheng/XrayGLM)] 40 | 41 | ## 📚 数据集 42 | 43 | ### 公开资料整理 44 | - awesome_Chinese_medical_NLP [[资料](https://github.com/GanjinZero/awesome_Chinese_medical_NLP)] 45 | 46 | ### 原始书籍 47 | 48 | - 700 项中医药古籍文本 [[数据集](https://github.com/xiaopangxia/TCM-Ancient-Books)] 49 | 50 | ### 考试数据集 51 | - 医疗大模型中文考试评估 [[数据集](https://github.com/jingnant/Medical-LLMs-Chinese-Exam)] 52 | 53 | ### 指令/对话数据集 54 | - 中医药指令数据集ChatMed_TCM_Dataset [[数据集](https://huggingface.co/datasets/michaelwzhu/ChatMed_Consult_Dataset)] 55 | - 中文医疗在线问诊数据集ChatMed_Consult_Dataset的50w+在线问诊+ChatGPT回复 [[数据集](https://huggingface.co/datasets/michaelwzhu/ChatMed_Consult_Dataset)] 56 | - MedChatZH 中医问诊数据集 [[数据集](https://huggingface.co/datasets/tyang816/MedChatZH)] 57 | 58 | ### 知识图谱 59 | - ChatMed 知识图谱 [[数据集](https://github.com/ywjawmw/TCM_KG)] 60 | --------------------------------------------------------------------------------