DeepSeek Coder 1.3B Base
| Property | Value |
|---|---|
| Parameter Count | 1.3B |
| Training Data | 2T tokens (87% code, 13% language) |
| License | DeepSeek License |
| Framework | PyTorch |
| Context Window | 16K tokens |
What is deepseek-coder-1.3b-base?
DeepSeek Coder 1.3B Base is a specialized code generation model trained from scratch on a massive dataset of 2 trillion tokens. It represents the entry-level version of the DeepSeek Coder family, designed specifically for code completion and project-level development tasks. The model leverages multi-head attention architecture and has been trained on a carefully curated mixture of code (87%) and natural language (13%) in both English and Chinese.
Implementation Details
The model implements a state-of-the-art transformer architecture with several key technical innovations. It utilizes a 16K token window size, enabling it to understand and process large code segments at once. The model supports both standard code completion and an innovative fill-in-the-blank task, making it particularly effective for project-level code development.
- Transformer-based architecture with multi-head attention
- 16K context window for handling large code segments
- Specialized tokenizer for code understanding
- Support for multiple programming languages
Core Capabilities
- Project-level code completion with extended context understanding
- Code infilling and gap completion
- Multi-language support including both code and natural language
- Repository-level code analysis and generation
- Support for various programming tasks and languages
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its comprehensive training on 2T tokens with a specific focus on code, combined with its ability to handle project-level contexts through its 16K token window. It's particularly well-suited for practical development tasks while maintaining efficient resource usage at 1.3B parameters.
Q: What are the recommended use cases?
The model excels in code completion, project-level development assistance, code infilling, and general programming tasks. It's particularly effective for developers looking for an efficient, lightweight solution for code generation and completion tasks in both personal and commercial projects.
