DeepSeek-Prover-V1.5-RL - AI Research Tools Tool

Overview

DeepSeek-Prover-V1.5-RL is an open-source language model for formal theorem proving in Lean 4. It combines reinforcement learning from proof assistant feedback (RLPAF) with a Monte‑Carlo tree search variant (RMaxTS) to produce diverse proof paths and reports state-of-the-art results on the miniF2F and ProofNet benchmarks.

Key Features

• Open-source language model tailored for Lean 4
• Reinforcement Learning from Proof Assistant Feedback (RLPAF)
• Monte‑Carlo tree search variant (RMaxTS) for proof exploration
• Generates multiple candidate proof paths
• Evaluated on miniF2F and ProofNet benchmarks

Ideal Use Cases

• Research on automated theorem proving in Lean 4
• Benchmarking models on miniF2F and ProofNet
• Experimenting with RL methods inside proof assistants
• Developing proof automation and tactic synthesis

Getting Started

• Visit the Hugging Face model page and download model files
• Install Lean 4 as the required proof assistant runtime
• Install Python and dependencies listed on the model page
• Load the model into your local inference environment
• Run provided evaluation scripts on miniF2F or ProofNet

Pricing

No pricing information is disclosed; the model is listed on Hugging Face and described as open-source.

Limitations

• Specialized for Lean 4; not a general-purpose language model
• Research-focused; requires technical setup and familiarity with proof assistants

Key Information

• Category: Research Tools
• Type: AI Research Tools Tool