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Kimina-Prover-RL: New Open-Source Theorem Proving Pipeline
Hugging Face Bloghigh confidence
Why it matters
- →Kimina-Prover-RL sets new benchmarks for open-source theorem proving models.
- →The reasoning-then-generation paradigm enhances model explainability and error recovery.
- →The open-source release allows for reproducibility and adaptation in research.
Hugging Face has released Kimina-Prover-RL, an open-source training pipeline for formal theorem proving in Lean 4. This pipeline, inspired by DeepSeek-R1, uses a structured reasoning-then-generation approach to improve model performance and explainability. Two models, AI-MO/Kimina-Prover-RL-1.7B and AI-MO/Kimina-Prover-RL-0.6B, have been released, achieving state-of-the-art results on the MiniF2F benchmark. The pipeline is fully compatible with the Verl framework, allowing for reproducibility and adaptation in theorem proving research.
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