DeepSeek-Coder-V2-Instruct-0724
| Property | Value |
|---|---|
| Total Parameters | 236B |
| Active Parameters | 21B |
| Context Length | 128K tokens |
| License | DeepSeek License |
| Paper | Research Paper |
What is DeepSeek-Coder-V2-Instruct-0724?
DeepSeek-Coder-V2-Instruct-0724 is a state-of-the-art Mixture-of-Experts (MoE) code language model that rivals GPT4-Turbo in code-specific tasks. Built upon DeepSeek-V2 and trained with 6 trillion tokens, it represents a significant advancement in open-source code intelligence.
Implementation Details
The model utilizes the DeepSeekMoE framework, achieving remarkable efficiency with only 21B active parameters despite its 236B total parameters. It supports an extensive context length of 128K tokens and is optimized for BF16 precision.
- Supports 338 programming languages
- Features advanced function calling capabilities
- Includes JSON output mode
- Implements Fill-in-the-Middle (FIM) completion
Core Capabilities
- Code completion and generation across multiple languages
- Advanced code insertion and modification
- Mathematical reasoning and problem-solving
- Chat-based programming assistance
- Tool integration through function calling
Frequently Asked Questions
Q: What makes this model unique?
Its MoE architecture allows for GPT4-Turbo level performance while maintaining efficiency through active parameter usage. The model's extensive language support and 128K context length set it apart from previous versions.
Q: What are the recommended use cases?
The model excels in code completion, software development, mathematical problem-solving, and technical documentation. It's particularly suitable for enterprise-level development environments requiring advanced code intelligence.
