Med42-v2：一套临床LLM套件

Med42-v2: A Suite of Clinical LLMs

August 12, 2024

作者: Clément Christophe, Praveen K Kanithi, Tathagata Raha, Shadab Khan, Marco AF Pimentel

cs.AI

摘要

Med42-v2推出了一系列临床大型语言模型（LLMs），旨在解决医疗环境中通用模型的局限性。这些模型基于Llama3架构构建，并使用专门的临床数据进行微调。它们经历了多阶段的偏好对齐，以有效地回应自然提示。尽管通用模型通常会进行偏好对齐，以避免回答临床查询作为一种预防措施，但Med42-v2经过特别训练以克服这一限制，使其能够在临床环境中使用。与原始Llama3模型以及各种医学基准相比，Med42-v2模型在8B和70B参数配置以及GPT-4上展现出卓越的性能。这些LLMs旨在理解临床查询，执行推理任务，并在临床环境中提供有价值的帮助。这些模型现在可以在以下网址公开获取：https://huggingface.co/m42-health。

English

Med42-v2 introduces a suite of clinical large language models (LLMs) designed to address the limitations of generic models in healthcare settings. These models are built on Llama3 architecture and fine-tuned using specialized clinical data. They underwent multi-stage preference alignment to effectively respond to natural prompts. While generic models are often preference-aligned to avoid answering clinical queries as a precaution, Med42-v2 is specifically trained to overcome this limitation, enabling its use in clinical settings. Med42-v2 models demonstrate superior performance compared to the original Llama3 models in both 8B and 70B parameter configurations and GPT-4 across various medical benchmarks. These LLMs are developed to understand clinical queries, perform reasoning tasks, and provide valuable assistance in clinical environments. The models are now publicly available at https://huggingface.co/m42-health{https://huggingface.co/m42-health}.