AI-MO/Kimina-Prover-72B

AI-MO/Kimina-Prover-72B is a 72.7 billion parameter theorem proving model developed by Project Numina and Kimi teams, based on the Qwen2.5-72B architecture. It is specifically trained via large-scale reinforcement learning to excel at competition-style problem solving in Lean 4. This model achieves 84.0% accuracy with Pass@32 on the MiniF2F-test, making it highly effective for formal mathematics and automated theorem proving tasks.