This project open-sources MING, a medical instruction-tuned LLM for Chinese medical consultations. The model supports medical question answering and multi-turn diagnostic conversations. It builds on PyTorch and Hugging Face transformers, with related research including sparse mixture-of-experts architectures and multi-agent evaluation frameworks for medical LLMs.