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Poster
in
Workshop: MATH-AI: The 3rd Workshop on Mathematical Reasoning and AI

llmstep: LLM proofstep suggestions in Lean

Sean Welleck · Rahul Saha

Keywords: [ Generative Models ] [ proof assistants ] [ formal reasoning ]


Abstract: We present $\texttt{llmstep}$, a tool for suggesting proof steps with a language model in the Lean 4 proof assistant. $\texttt{llmstep}$ is a Lean 4 tactic that sends a user's proof state to a server hosting a language model. The language model generates suggestions, which are checked in Lean and displayed to a user in their development environment. We provide a baseline language model, along with code for fine-tuning and evaluation to support further development. We provide server implementations that run on CPU, a CUDA GPU, or a Google Colab notebook, as a step towards fast, effective language model suggestions for any user.

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