Sunsimiao-Qwen2-7B

X-D-Lab/Sunsimiao-Qwen2-7B

PublisherX-D-Lab

Download access requirementsModelScope source

[](https://github.com/thomas-yanxin/Sunsimiao/stargazers) [](https://github.com/thomas-yanxin/Sunsimiao/fork) [](https://github.com/thomas-yanxin/Sunsimiao/graphs/contributors)

Text Chat

View all download instructions Mirror repository documentation and license ↗

Model details

模型介绍

中文整理

孙思邈中文医疗大模型

[](https://github.com/thomas-yanxin/Sunsimiao/stargazers)

[](https://github.com/thomas-yanxin/Sunsimiao/fork)

[](https://github.com/thomas-yanxin/Sunsimiao/graphs/contributors)

中文 English**

👋 **联系我们**: xd.lab2023@gmail.com

🎉 项目进展

🔥更好的模型永远在路上!🔥**

*[Jul 23,2024][new!]**:rocket::rocket::rocket:**   Sunsimiao-7B发布！**

[Jul 6, 2023] **首次**提交孙思邈（Sunsimiao）中文医疗大模型

🌈 模型介绍

孙思邈**, 唐代医药学家、道士, 被后人尊称为"药王". 其十分重视民间的医疗经验, 不断积累走访, 及时记录下来, 写下著作《千金要方》. 唐朝建立后, 孙思邈接受朝廷的邀请, 与政府合作开展医学活动, 完成了世界上第一部国家药典《唐新本草》.

孙思邈中文医疗大模型**(简称: Sunsimiao)希望能够遵循孙思邈的生平轨迹, 重视民间医疗经验, 不断累积中文医疗数据, 并将数据附加给模型, 致力于提供**安全、可靠、普惠**的中文医疗大模型.

🚩 **Sunsimiao-7B**模型由**Qwen2-7B**模型与**高质量医疗数据微调**而得，在**CMB-Exam**中达到**30B**量级模型**SOTA！** 同时在**中国国家执业医师、药师、护士资格考试**中均取得**优异成绩**。

📅 模型列表

模型名称 lora权重合并后的权重

:----: :----: :----:

:new:Sunsimiao-7B 🤖modelscope / 🤗huggingface 🤖modelscope / 🤗huggingface

Sunsimiao-01M 🤖modelscope / 🤗huggingface 🤖modelscope / 🤗huggingface

Sunsimiao-01M-Chat 🤖modelscope / 🤗huggingface 🤖modelscope / 🤗huggingface

Sunsimiao-01M-6B 🤖modelscope / 🤗huggingface 🤖modelscope / 🤗huggingface

📚 数据详?

Sunsimiao**的各个版本训练数据均取自我们精心构建的**医疗数据池**，该数据池融合各类**医疗文献及教材、多科室诊断数据、海量医疗问诊对话、医学知识问答、病历分析**等，基于**开源数据**和**GPT4自动构建**，经**人工清洗标注、自动化数据分析处理**所得。

该数据池仍在持续更新中！** 部分数据样例参考： data/example single.json data/example multi.json

🎓 模型评估

CMB-Exam

Sunsimiao-7B**在**CMB-Exam**中具体表现如下：

注：图中模型分数均取自CMB榜单数据，具体分数统计于 data/cmb compare.xlsx ，详见：CMB-Leaderboard

考试表现

模型名称考试名称题目数量准确率

:----: :----: :----: :----:

Sunsimiao-7B 中国国家执业医师资格考试 3000 79.23%

Sunsimiao-7B 中国国家执业药师资格考试 2400 71.33%

Sunsimiao-7B 中国国家执业护士资格考试 1200 83.83%

🔓 使用方法

更多使用方法见scripts**

致谢

本项目由**华东理工大学信息科学与工程学院薛栋副教授**发起, 并受到以下项目及平台的大力支持, 在此表示感谢!

LLaMA-Efficient-Tuning: 提供微调代码
OpenI启智社区: 提供模型训练算力
**魔搭ModelScope、OpenXLab、Huggingface**：模型存储和体验空间;
文心一格: 生成模型logo

特别感谢**上海人工智能实验室推出的书生·浦语大模型实战营**、**InternStudio**为我们的项目提供宝贵的技术指导和强大的算力支持!

免责申明

**孙思邈中文医疗大模型**存在固有的局限性, 可能产生错误的、有害的、冒犯性的或其他不良的输出. 用户在关键或高风险场景中应谨慎行事, 不要使用这些模型作为最终决策参考, 以免导致人身伤害、财产损失或重大损失.

**孙思邈中文医疗大模型**由**baichuan-7B**、**Qwen2-7B**模型微调而得, 按"原样"提供, 在任何情况下, 作者、贡献者或版权所有者均不对因软件或使用或其他软件交易而产生的任何索赔、损害赔偿或其他责任(无论是合同、侵权还是其他原因)承担责任.

使用**孙思邈中文医疗大模型**即表示您同意这些条款和条件, 并承认您了解其使用可能带来的潜在风险. 您还同意赔偿并使作者、贡献者和版权所有者免受因您使用**孙思邈中医药大模型**而产生的任何索赔、损害赔偿或责任的影响.

Quote

优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。

你将获得什么

完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。

完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。

使用前须知

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

Sunsimiao-Qwen2-7B model download

Download the full repository or choose a version or file.

许可待确认

下载入口不代表获得修改、分发或商用授权。使用前请查阅原仓库说明、LICENSE 或联系作者确认；闲社未验证模型运行效果。

查看原作者说明与许可 →

Download tools · More than GGUF

Use the Hugging Face download tool to obtain X-D-Lab/Sunsimiao-Qwen2-7B. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: 22aa4620788159cffd734b4dcf50f07d42d580ec. Downloads files only; does not start the model.

Choose a download source

Pinned ModelScope version: 22aa4620788159cffd734b4dcf50f07d42d580ec. Version identifiers can differ across sites. The alternative source was provided after checking weights and runtime configuration; this is not proof of a successful model run.

A checked, pinned ModelScope source is available for this model. Use the ModelScope download tool.

Choose what to download

Need just one GGUF precision? Load the file manifest and choose a version. Direct file links do not require Python; the command below can download multiple shards together.

Quantization / file

This reads the pinned version's file manifest; no model weights are downloaded.

Choose your operating system

For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.

Open a terminal window

Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.

If Python is not installed, get it from the official Python website. In the terminal, enter python --version; continue when a version number appears.

First time? Install the download tool

Copy this command, paste it into the terminal, press Enter and wait for installation to finish.

python -m pip install --upgrade huggingface_hub

Already installed? Continue to step 3.

Run the download command

Select the button below, paste into the same terminal and press Enter. The tool downloads all files included in the current command.

Copying does not start a download. Paste and run the command on your device.

Where are the downloaded files?

Open the folder you chose. Look for the models folder. When progress stops and the terminal returns to its prompt without errors, check that all files are present. 'Copied' does not mean 'downloaded'.

No response or an error?

python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.

hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.

Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.

Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.

View the full download command

modelscope download --model "X-D-Lab/Sunsimiao-Qwen2-7B" --revision "22aa4620788159cffd734b4dcf50f07d42d580ec" --local_dir "./models/X-D-Lab--Sunsimiao-Qwen2-7B--ms-22aa46207881"

Files transfer directly from the source you choose, not through Xianshe servers.

The version is pinned. Repeating the same command checks existing files. Change the source manually if it is slow or unavailable.

Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.