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

Overview

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

Key Features

• Open-source language model for formal theorem proving in Lean 4
• Reinforcement learning from proof assistant feedback (RLPAF)
• Monte-Carlo tree search variant (RMaxTS) to explore proof paths
• Generates diverse candidate proof paths for automated reasoning
• Improves on previous DeepSeek-Prover models
• State-of-the-art results on miniF2F and ProofNet benchmarks

Ideal Use Cases

• Automated theorem proving experiments in Lean 4
• Research on reinforcement learning for proof assistants
• Benchmarking model performance on miniF2F and ProofNet
• Exploring Monte-Carlo tree search in proof search
• Integrating into Lean 4 proof development workflows

Getting Started

• Visit the Hugging Face repository for DeepSeek-Prover-V1.5-RL
• Clone the repository and review the README and examples
• Install Lean 4 and any listed prerequisites
• Run provided scripts to load the pretrained model and examples
• Adapt model outputs into your proof assistant workflow

Pricing

Not disclosed. Model is open-source and hosted on Hugging Face.

Limitations

• Specialized to Lean 4; not a general-purpose language model
• Best used by users familiar with theorem proving and Lean 4

Key Information

• Category: Research
• Type: AI Research Tool