ai/deepseek-v3.2-vllm repository overview

⁠DeepSeek-V3.2: Efficient Reasoning & Agentic AI

We introduce DeepSeek-V3.2, a model that harmonizes high computational efficiency with superior reasoning and agent performance. Our approach is built upon three key technical breakthroughs:

1. DeepSeek Sparse Attention (DSA): We introduce DSA, an efficient attention mechanism that substantially reduces computational complexity while preserving model performance, specifically optimized for long-context scenarios.
2. Scalable Reinforcement Learning Framework: By implementing a robust RL protocol and scaling post-training compute, DeepSeek-V3.2 performs comparably to GPT-5. Notably, our high-compute variant, DeepSeek-V3.2-Speciale, surpasses GPT-5 and exhibits reasoning proficiency on par with Gemini-3.0-Pro.
3. Large-Scale Agentic Task Synthesis Pipeline: To integrate reasoning into tool-use scenarios, we developed a novel synthesis pipeline that systematically generates training data at scale. This facilitates scalable agentic post-training, improving compliance and generalization in complex interactive environments.

Achievement: 🥇 Gold-medal performance in the 2025 International Mathematical Olympiad (IMO) and International Olympiad in Informatics (IOI).

⁠Use this AI model with Docker Model Runner

docker model run deepseek-v3.2-vllm

For more information on Docker Model Runner, explore the documentation⁠.

⁠Usage tips

• Recommended values temperature 1 and top_p 0.95

⁠Links

• https://huggingface.co/deepseek-ai/DeepSeek-V3.2⁠
• https://github.com/deepseek-ai/DeepSeek-V3.2-Exp⁠