AI-MO/Kimina-Prover-Distill-1.7B

AI-MO/Kimina-Prover-Distill-1.7B is a 1.7 billion parameter theorem proving model developed by Project Numina and Kimi teams, distilled from the larger Kimina-Prover-72B. This model specializes in competition-style problem solving within the Lean 4 theorem prover environment. It achieves 72.95% accuracy with Pass@32 on the MiniF2F-test benchmark, making it suitable for automated theorem proving tasks.