AI-MO/Kimina-Prover-Preview-Distill-1.5B is a 1.5 billion parameter theorem proving model developed by Project Numina and Kimi teams. It is a distillation of Kimina-Prover-Preview, trained via large-scale reinforcement learning, and is specifically optimized for competition-style problem solving in Lean 4. The model achieves state-of-the-art results on MiniF2F-test within its model size and compute budget, making it highly effective for formal reasoning tasks.
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Hugging Face