DeepSeek-Coder-V2-Instruct
| Property | Value |
|---|---|
| Total Parameters | 236B |
| Active Parameters | 21B |
| Context Length | 128K tokens |
| Architecture | Mixture-of-Experts (MoE) |
| Paper | Research Paper |
| License | DeepSeek License (Commercial use allowed) |
What is DeepSeek-Coder-V2-Instruct?
DeepSeek-Coder-V2-Instruct is a state-of-the-art code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Built on the DeepSeekMoE framework, it represents a significant advancement in open-source code intelligence, with support for 338 programming languages and an extended context length of 128K tokens.
Implementation Details
The model utilizes a Mixture-of-Experts architecture with 236B total parameters but only 21B active parameters, making it more efficient in practice. It was further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens, specifically optimized for coding and mathematical reasoning tasks.
- BF16 tensor format for optimal performance
- Requires 80GB*8 GPUs for full model inference
- Supports both base and instruction-tuned variants
- Compatible with Hugging Face Transformers and vLLM
Core Capabilities
- Code completion and generation across 338 programming languages
- Advanced mathematical reasoning capabilities
- 128K context length for handling large code bases
- Superior performance compared to closed-source models in coding benchmarks
- Code insertion and modification capabilities
Frequently Asked Questions
Q: What makes this model unique?
The model's combination of massive scale (236B parameters) with efficient MoE architecture (21B active parameters) and support for 338 programming languages makes it uniquely powerful for code-related tasks. It achieves performance comparable to closed-source models while remaining open and accessible.
Q: What are the recommended use cases?
The model excels in code completion, generation, and modification tasks across a wide range of programming languages. It's particularly suitable for professional developers needing assistance with complex coding tasks, code review, and mathematical problem-solving.
