SUFE-AIFLM-Lab/Fin-R1

Fin-R1 is a 7.6 billion parameter large language model developed by SUFE-AIFLM-Lab and Caiyue Xingchen, built upon the Qwen2.5-7B-Instruct base. It is specifically fine-tuned using supervised fine-tuning (SFT) and reinforcement learning (RL) on high-quality verifiable financial problem data. This model excels in complex financial reasoning tasks, achieving state-of-the-art performance on multiple financial benchmarks, particularly in financial code, calculations, and risk control.