QuarkMed Medical Foundation Model Technical Report
About
Recent advancements in large language models have significantly accelerated their adoption in healthcare applications, including AI-powered medical consultations, diagnostic report assistance, and medical search tools. However, medical tasks often demand highly specialized knowledge, professional accuracy, and customization capabilities, necessitating a robust and reliable foundation model. QuarkMed addresses these needs by leveraging curated medical data processing, medical-content Retrieval-Augmented Generation (RAG), and a large-scale, verifiable reinforcement learning pipeline to develop a high-performance medical foundation model. The model achieved 70% accuracy on the Chinese Medical Licensing Examination, demonstrating strong generalization across diverse medical benchmarks. QuarkMed offers a powerful yet versatile personal medical AI solution, already serving over millions of users at ai.quark.cn.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Medical Question Answering | MedMCQA (test) | Accuracy75.5 | 134 | |
| Question Answering | MedQA-USMLE (test) | Accuracy86.02 | 101 | |
| Question Answering | PubMedQA (test) | Accuracy79 | 81 | |
| Medical Question Answering | MedXpert (test) | Accuracy28.6 | 15 | |
| Medical Question Answering | CMExam (test) | Accuracy88.61 | 14 |