DeepSeek-Coder-V2-Lite-Base
| Property | Value |
|---|---|
| Total Parameters | 15.7B |
| Active Parameters | 2.4B |
| Context Length | 128k tokens |
| Tensor Type | BF16 |
| License | DeepSeek License |
| Paper | Research Paper |
What is DeepSeek-Coder-V2-Lite-Base?
DeepSeek-Coder-V2-Lite-Base is an advanced open-source Mixture-of-Experts (MoE) code language model designed specifically for code intelligence tasks. It represents a lighter version of the DeepSeek-Coder-V2 family, offering impressive capabilities while maintaining efficiency through its MoE architecture.
Implementation Details
The model utilizes a sophisticated MoE architecture that achieves high performance with significantly fewer active parameters. While the total parameter count is 15.7B, it effectively operates with only 2.4B active parameters, making it more resource-efficient than traditional models of similar capability.
- Built on DeepSeekMoE framework
- Supports 338 programming languages
- Extended context length of 128k tokens
- Optimized for BF16 precision
Core Capabilities
- Advanced code completion and generation
- Code insertion and modification
- Multi-language programming support
- Extended context understanding
- Mathematical reasoning capabilities
Frequently Asked Questions
Q: What makes this model unique?
The model's MoE architecture allows it to achieve performance comparable to much larger models while using only 2.4B active parameters, making it more efficient and accessible. Its support for 338 programming languages and 128k context length sets it apart from previous versions.
Q: What are the recommended use cases?
The model excels in code completion, generation, and modification tasks across hundreds of programming languages. It's particularly suitable for developers requiring efficient code assistance with large context understanding and mathematical reasoning capabilities.
