DeepSeek-Coder-V2-Lite-Instruct
| Property | Value |
|---|---|
| Parameter Count | 15.7B |
| Architecture Type | Mixture-of-Experts (MoE) |
| Context Length | 128K tokens |
| License | DeepSeek License |
| Research Paper | arxiv.org/pdf/2401.06066 |
What is DeepSeek-Coder-V2-Lite-Instruct?
DeepSeek-Coder-V2-Lite-Instruct is an advanced code-focused language model that leverages Mixture-of-Experts architecture to deliver powerful coding capabilities while maintaining efficiency. It's an instruction-tuned variant specifically designed for interactive coding assistance and supports 338 programming languages.
Implementation Details
The model is implemented using a MoE architecture with 15.7B total parameters but only 2.4B active parameters, making it more efficient than traditional models. It operates in BF16 precision and features an extensive 128K token context window, allowing it to process large code segments.
- Built on DeepSeekMoE framework
- Supports 338 programming languages
- Pre-trained on 6 trillion tokens
- Optimized for both code completion and instruction following
Core Capabilities
- Code completion and generation
- Code insertion and editing
- Interactive programming assistance
- Mathematical reasoning
- Long context understanding (128K tokens)
- Multi-language support
Frequently Asked Questions
Q: What makes this model unique?
The model combines the efficiency of MoE architecture with extensive programming language support and a large context window, while maintaining performance comparable to larger models like GPT4-Turbo in code-specific tasks.
Q: What are the recommended use cases?
The model excels in code completion, programming assistance, code generation, and technical problem-solving across hundreds of programming languages. It's particularly suitable for developers needing intelligent coding assistance with long-context understanding.
