DeepSeek-R1 32B

System Requirements

VRAM requirements for different quantization methods and context sizes

About DeepSeek-R1 32B

DeepSeek-R1 32B is a high-capacity dense reasoning model distilled from DeepSeek-R1 onto the Qwen2.5-32B architecture. It offers frontier-level performance on complex coding, mathematical proofs, and analytical tasks with a 131K context window.

Technical Specifications

Resources

About DeepSeek-R1

DeepSeek-R1 is a model family developed for logical reasoning tasks. It incorporates a Mixture-of-Experts architecture for computational efficiency and scalability. The family utilizes Multi-Head Latent Attention and employs reinforcement learning in its training, with some variants integrating cold-start data.

Other DeepSeek-R1 Models

• DeepSeek-R1 1.5B
• DeepSeek-R1 3B
• DeepSeek-R1 7B
• DeepSeek-R1 8B
• DeepSeek-R1 14B
• DeepSeek-R1 70B
• DeepSeek-R1 671B