Med-LLaMA3-8B is an 8-billion parameter medical language model that has undergone continual pre-training on LLaMA3-8B architecture using large-scale open-sourced medical data.
Med-LLaMA3-8B is trained on a large-scale dataset comprising: medical books, medical literature, clinical guidelines and a small portion of general domain data
It is a study extension based on our previous Me-LLaMA paper:
https://arxiv.org/pdf/2402.12749@misc{xie2024llama,
title={Me LLaMA: Foundation Large Language Models for Medical Applications},
author={Qianqian Xie and Qingyu Chen and Aokun Chen and Cheng Peng and Yan Hu and Fongci Lin and Xueqing Peng and Jimin Huang and Jeffrey Zhang and Vipina Keloth and Huan He and Lucila Ohno-Machido and Yonghui Wu and Hua Xu and Jiang Bian},
year={2024},
eprint={2402.12749},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
