DeepSeek-Coder-V2-Base
| Property | Value |
|---|---|
| Total Parameters | 236B |
| Active Parameters | 21B |
| Context Length | 128K tokens |
| License | MIT License (Commercial use supported) |
| Author | deepseek-ai |
What is DeepSeek-Coder-V2-Base?
DeepSeek-Coder-V2-Base is a groundbreaking open-source Mixture-of-Experts (MoE) code language model that rivals GPT4-Turbo in code-specific tasks. Built upon DeepSeek-V2 with additional pre-training on 6 trillion tokens, it represents a significant advancement in AI-powered coding assistance and mathematical reasoning.
Implementation Details
The model utilizes an innovative MoE architecture that achieves high performance while maintaining efficiency. Despite its impressive 236B total parameters, it operates with only 21B active parameters, making it more resource-efficient than traditional models of similar capability.
- Supports 338 programming languages (expanded from 86)
- 128K context length for handling large codebases
- Implements BF16 format for inference
- Requires 80GB*8 GPUs for optimal performance
Core Capabilities
- Advanced code completion and generation
- Superior mathematical reasoning abilities
- Code insertion and modification
- Chat completion functionality
- Performance comparable to GPT4-Turbo and Claude 3 Opus
Frequently Asked Questions
Q: What makes this model unique?
The model's MoE architecture allows it to achieve state-of-the-art performance while using significantly fewer active parameters than traditional models. Its extensive programming language support and large context window make it particularly versatile for software development tasks.
Q: What are the recommended use cases?
The model excels in code generation, completion, and modification tasks across hundreds of programming languages. It's particularly well-suited for professional software development, automated code review, and technical documentation generation.
