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QuarkMed Medical Foundation Model Technical Report

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arxiv 2508.11894 v1 pith:5NWBGZMJ submitted 2025-08-16 cs.AI

QuarkMed Medical Foundation Model Technical Report

classification cs.AI
keywords medicalmodelfoundationquarkmedaccuracyreportacceleratedachieved
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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