MedAIBase/AntAngelMed 已完整同步
Feel free to try out the model using the API below (欢迎使用下面API链接体验模型): https://antangelmed.tbox.cn/
English | 中文 | 🤗 Hugging Face | 🤖 ModelScope | 🐙 Github
HuggingFace:https://huggingface.co/MedAIBase/AntAngelMed
ModelScope:https://modelscope.cn/models/MedAIBase/AntAngelMed
Github: https://github.com/MedAIBase/AntAngelMed
Quantized version:🤗 Hugging Face | 🤖 ModelScope
HuggingFace:https://huggingface.co/MedAIBase/AntAngelMed-FP8
ModelScope:https://modelscope.cn/models/MedAIBase/AntAngelMed-FP8
Introduction
AntAngelMed is Officially Open Source! 🚀
AntAngelMed, jointly developed by the Health Information Center of Zhejiang Province, Ant Healthcare, and Zhejiang Anzhen'er Medical Artificial Intelligence Technology Co., Ltd.(浙江省安诊儿医学人工智能科技有限公司), is the largest and most powerful open-source medical language model to date.
Core Highlights
- 🏆World-leading Performance on Authoritative Benchmarks: AntAngelMed surpasses all open-source models and a range of top proprietary models on OpenAI's HealthBench, and ranks first overall on the Chinese authority benchmark MedAIBench.
- 🧠Advanced Medical Capabilities: AntAngelMed achieves its professional medical capabilities through a rigorous three-stage training pipeline: continual pre-training on medical corpora, supervised fine-tuning with high-quality instructions, and GRPO-based reinforcement learning. This process equips the model with deep medical knowledge, sophisticated diagnostic reasoning, and robust adherence to safety and ethics.
- ⚡Extremely Efficient Inference: Leveraging Ling-flash-2.0’s high-efficiency MoE, AntAngelMed matches the performance of ~40B dense models while activating only 6.1B parameters of its 100B parameters. It achieves over 200 tokens/s on H20 hardware and supports 128K context length.
📊 Benchmark Results
HealthBench
HealthBench is an open-source medical evaluation benchmark released by OpenAI, designed to assess the performance of Large Language Models (LLMs) in real-world medical environments through highly simulated multi-turn dialogues. AntAngelMed achieved outstanding performance on this benchmark, ranking first among all open-source models, with a particularly significant advantage on the challenging HealthBench-Hard subset.
Figure | AntAngelMed ranks first among open-source models on HealthBench
MedAIBench
MedAIBench is an authoritative medical LLM evaluation system developed by the National Artificial Intelligence Medical Industry Pilot Facility. AntAngelMed also ranks among the top level and demonstrates strong comprehensive professionalism and safety, especially in medical knowledge Q&A and medical ethics/safety.
Figure | AntAngelMed ranks among the top level on MedAIBench
MedBench
MedBench is a
35 个文件
浏览文件数据集版权信息
本数据集的许可证为 Apache License 2.0。如有违反相关条款,请联系 WEHUB,我们将及时处理。 查看许可证
通过 WeHub CLI 下载当前数据集快照。下列命令会固定为当前页面展示的数据版本(如果页面提供版本)。文件字节由本机直连存储下载,浏览器不会签发或保存下载链接。
前置要求
需要 Node.js 18 及以上,以及 npm(或 npx)。
1. 安装 CLI
npm install -g wehub-cli@latest
2. 下载此数据集
wehub datasets download ds_ext_629_f138bd9357 --revision 5325cdd8cf7b05e300890b43380be393e6edf4ad --output ./ds_ext_629_f138bd9357
若中断或部分失败,在同一目录重新执行同一命令即可续传。默认会校验 SHA-256。
免全局安装
npx --yes wehub-cli@latest datasets download ds_ext_629_f138bd9357 --revision 5325cdd8cf7b05e300890b43380be393e6edf4ad --output ./ds_ext_629_f138bd9357
高级选项
以下为 wehub datasets download 已支持的参数示例:
强制重新下载,不复用已校验的本地文件
wehub datasets download ds_ext_629_f138bd9357 --revision 5325cdd8cf7b05e300890b43380be393e6edf4ad --output ./ds_ext_629_f138bd9357 --overwrite
仅包含匹配路径
wehub datasets download ds_ext_629_f138bd9357 --revision 5325cdd8cf7b05e300890b43380be393e6edf4ad --output ./ds_ext_629_f138bd9357 --include "*.jsonl"
排除匹配路径
wehub datasets download ds_ext_629_f138bd9357 --revision 5325cdd8cf7b05e300890b43380be393e6edf4ad --output ./ds_ext_629_f138bd9357 --exclude "*.md"
提高并发下载数
wehub datasets download ds_ext_629_f138bd9357 --revision 5325cdd8cf7b05e300890b43380be393e6edf4ad --output ./ds_ext_629_f138bd9357 --jobs 8
完整帮助:wehub datasets download --help