DeepSeek Coder 6.7B Base
| Property | Value |
|---|---|
| Parameter Count | 6.7B |
| Training Data | 2T tokens (87% code, 13% language) |
| Context Window | 16K tokens |
| License | DeepSeek License (Commercial use supported) |
| Tensor Type | BF16 |
What is deepseek-coder-6.7b-base?
DeepSeek Coder 6.7B Base is a state-of-the-art code generation model trained from scratch on a massive dataset of 2 trillion tokens. It's designed specifically for project-level code completion and infilling tasks, with sophisticated capabilities in multiple programming languages. The model represents a perfect balance between size and performance, offering enterprise-grade code generation capabilities while remaining deployable on reasonable hardware.
Implementation Details
The model utilizes Multi-Head Attention architecture and is trained with an emphasis on project-level understanding. With its 16K token context window, it can comprehend and generate code while maintaining awareness of broader project context.
- Trained on 87% code and 13% natural language content
- Supports both English and Chinese languages
- Implements fill-in-the-blank task capability
- Optimized for BF16 precision
Core Capabilities
- Project-level code completion with extended context understanding
- Code infilling for existing codebases
- Multi-language support with state-of-the-art performance
- Repository-level code comprehension
- Advanced code generation across various programming paradigms
Frequently Asked Questions
Q: What makes this model unique?
DeepSeek Coder stands out due to its comprehensive training on 2T tokens and its ability to understand project-level context with a 16K token window. It's one of the few models specifically optimized for both completion and infilling tasks while maintaining state-of-the-art performance on major benchmarks like HumanEval and MultiPL-E.
Q: What are the recommended use cases?
The model excels in code completion, code generation, and project-level development assistance. It's particularly well-suited for enterprise development environments where understanding broader project context is crucial. The model can be used for everything from writing new functions to completing complex code blocks within existing projects.
