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Open-source pipeline trains Lean 4 theorem provers, sets new benchmarks · 1 source tracked

Hugging Face has released Kimina-Prover-RL, an open-source training pipeline for formal theorem proving in the Lean 4 programming language. This pipeline, inspired by DeepSeek-R1 and utilizing the GRPO reinforcement learning approach with the Verl library, enables models to generate natural language reasoning traces followed by corresponding Lean code. Two models have been released as a result: AI-MO/Kimina-Prover-RL-1.7B and AI-MO/Kimina-Prover-RL-0.6B, both setting new state-of-the-art benchmarks on the MiniF2F dataset for their respective size categories. AI

IMPACT This release provides a new open-source tool for training AI models in formal theorem proving, potentially advancing capabilities in mathematical reasoning and code generation.

RANK_REASON Release of an open-source training pipeline and two models for formal theorem proving, setting new benchmarks.

Read on Hugging Face Blog →

AI-generated summary · Google Gemini · from 6 sources. How we write summaries →

Open-source pipeline trains Lean 4 theorem provers, sets new benchmarks · 1 source tracked

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Release of an open-source training pipeline and two models for formal theorem proving, setting new benchmarks.
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COVERAGE [6]

  1. Hugging Face Blog TIER_1 English(EN) ·

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  2. Hugging Face Blog TIER_1 (SL) ·

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