snuh/hari-q2.5-thinking

The snuh/hari-q2.5-thinking model is a Korean Medical Large Language Model (LLM) developed by the Healthcare AI Research Institute (HARI) at Seoul National University Hospital (SNUH). This model is fine-tuned on Korean medical question-answering (QA) style data, enabling robust performance in clinical reasoning and medical education. It achieves 89.2% accuracy on the Korean Medical Licensing Examination (KMLE) and 88.36% on the USMLE QA benchmark, making it suitable for clinical decision support and medical self-assessment tools.