DeepSeek-V2.5-1210
| Property | Value |
|---|---|
| License | MIT License (Code) / Model License (Commercial use supported) |
| Hardware Requirements | 80GB*8 GPUs for BF16 inference |
| Paper | arXiv:2405.04434 |
| Author | DeepSeek-AI |
What is DeepSeek-V2.5-1210?
DeepSeek-V2.5-1210 represents a significant upgrade to the DeepSeek-V2.5 architecture, featuring enhanced performance across mathematical reasoning, coding, and general writing tasks. This version demonstrates remarkable improvements, achieving 82.8% accuracy on the MATH-500 benchmark (up from 74.8%) and 34.38% on the LiveCodebench (increased from 29.2%).
Implementation Details
The model supports various implementation methods, including Huggingface Transformers and vLLM for efficient inference. It features specialized capabilities such as function calling, JSON output formatting, and Fill-In-the-Middle (FIM) completion, making it versatile for different applications.
- BF16 format inference support
- Comprehensive chat template system
- Advanced function calling capabilities
- JSON output mode for structured responses
- FIM completion for code and text generation
Core Capabilities
- Enhanced mathematical reasoning with 82.8% accuracy on MATH-500
- Improved coding performance with 34.38% accuracy on LiveCodebench
- Advanced text generation and reasoning capabilities
- File upload and webpage summarization optimization
- Structured output formatting through JSON mode
Frequently Asked Questions
Q: What makes this model unique?
DeepSeek-V2.5-1210 stands out for its significant improvements in mathematical and coding capabilities, along with its flexible implementation options and commercial-use support. The model's ability to handle various tasks from function calling to FIM completion makes it versatile for different applications.
Q: What are the recommended use cases?
The model is particularly well-suited for mathematical problem-solving, code generation, technical writing, and applications requiring structured output. Its enhanced capabilities make it ideal for educational tools, development environments, and business applications requiring precise mathematical or coding solutions.
