Mistral AI發佈專爲Lean4設計的開源模型Leanstral1.5，採用Apache-2.0許可。該模型總參數119B，僅6B激活參數，兼顧高性能與低成本。在miniF2F形式數學基準中，驗證集和測試集均達100%完成率，並已挑戰Putnam等高難度推理任務。
歐洲Mistral AI推出數學形式化證明模型Leanstral 1.5，專爲Lean4語言，總參數119B但推理僅激活6B，以極低開銷和Apache-2.0許可完全開源。在miniF2F基準上驗證集和測試集均達100%完成率，PutnamBench同樣表現驚人。
Kimi 技術團隊近日發佈了 Kimina-Prover 預覽版的技術報告，並開源了1.5B 和7B 參數的模型蒸餾版本、用於數據生成的 Kimina-Autoformalizer-7B 模型以及修訂過的 miniF2F 基準測試數據集。Kimina-Prover 是由 Numina 和 Kimi 團隊聯合研發的一款數學定理證明模型，它在形式化定理證明領域採用了一種新穎的、由推理驅動的探索範式，展現出極佳的性能。
AI-MO
Kimina-Prover-Distill-0.6B是由Project Numina和Kimi團隊開發的定理證明模型，專注於Lean 4中的競賽風格問題解決能力。它是Kimina-Prover-72B模型的蒸餾版本，在MiniF2F-test上達到了68.85%的準確率。
internlm
InternLM-Step-Prover 是一款基於 7B 語言模型的先進 LEAN4 步驟證明器，在 Lean-Github 和多個合成數據集上訓練，在 MiniF2F、ProofNet 和 Putnam 等數學基準測試中表現出色，展示了強大的形式化數學證明能力。
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