DeepSeek-V2-Chat-0628
| Property | Value |
|---|---|
| Parameter Count | 236B |
| Model Type | Chat Model |
| License | DeepSeek License |
| Paper | arXiv:2405.04434 |
| Tensor Type | BF16 |
What is DeepSeek-V2-Chat-0628?
DeepSeek-V2-Chat-0628 is an advanced language model that represents a significant improvement over its predecessor. It has achieved remarkable rankings on the LMSYS Chatbot Arena Leaderboard, placing #11 overall and outperforming all other open-source models. The model particularly excels in coding tasks (#3 in Coding Arena) and handling challenging prompts (#3 in Hard Prompts Arena).
Implementation Details
The model requires substantial computational resources for inference, specifically 80GB*8 GPUs in BF16 format. It can be implemented using either Hugging Face's Transformers library or vLLM (recommended) for optimal performance. The model utilizes an updated chat template and supports flexible system message integration.
- Improved instruction following in system prompts
- Enhanced performance across multiple benchmarks
- Optimized for immersive translation and RAG tasks
Core Capabilities
- HumanEval: 84.8 (+3.7 improvement)
- MATH: 71.0 (+17.1 improvement)
- BBH: 83.4 (+3.7 improvement)
- IFEval: 77.6 (+13.8 improvement)
- Arena-Hard: 68.3 (+26.7 improvement)
- JSON Output: 85 (+7 improvement)
Frequently Asked Questions
Q: What makes this model unique?
The model's exceptional performance improvements across multiple benchmarks, particularly in coding and challenging prompts, sets it apart. It combines high parameter count (236B) with optimized architecture for both economical training and efficient inference.
Q: What are the recommended use cases?
The model excels in coding tasks, mathematical problems, and handling complex prompts. It's particularly well-suited for immersive translation, RAG applications, and scenarios requiring strong instruction-following capabilities.
