This project open-sources a collection of instruction-tuned large language models specialized for the Chinese medical domain. It constructs a Chinese medical instruction dataset from medical knowledge graphs and literature, then fine-tunes base models including LLaMA, Alpaca-Chinese, Bloom, and Huozi. The fine-tuning improves these models performance on healthcare question-answering tasks.