📖 Model Overview
RareSeek-R1 is a domain-specialized large language model tailored for rare-disease diagnostic reasoning, developed through a Progressive Parameter-Efficient Transfer Learning framework.
The model is first instruction-tuned on the clinically grounded RareMed-Corpus, a large, multi-source dataset deeply integrated from medical textbooks, guidelines, biomedical literature, and real-world EHR (Electronic Health Record) narratives. It is subsequently fine-tuned on RareMed-CoT, a high-fidelity corpus designed to instill explicit, stepwise clinical reasoning that aligns with real-world diagnostic workflows.
🗄️ Dataset & Resources
📚 RareMedData: Access the comprehensive medical dataset used for training here:
👉 https://huggingface.co/datasets/TaoMedAI/RareMedData