| Property | Value |
|---|---|
| Parameter Count | 6.7B |
| Training Data | 2T tokens (87% code, 13% language) |
| License | DeepSeek License (Commercial use allowed) |
| Tensor Type | BF16 |
What is deepseek-coder-6.7b-instruct?
DeepSeek Coder 6.7B Instruct is a specialized coding language model fine-tuned on 2B tokens of instruction data. It represents a sophisticated AI system designed specifically for code generation, understanding, and completion tasks across multiple programming languages. The model builds upon the base version with enhanced instruction-following capabilities.
Implementation Details
The model features a 16K window size for context handling and implements a unique fill-in-the-blank task approach. It's built using the Transformer architecture and optimized for PyTorch, supporting both inference endpoints and text generation tasks.
- Trained from scratch on a massive 2T token dataset
- Implements advanced project-level code completion
- Supports both English and Chinese language interactions
- Utilizes BF16 precision for optimal performance
Core Capabilities
- State-of-the-art performance on HumanEval, MultiPL-E, MBPP, DS-1000, and APPS benchmarks
- Project-level code completion and infilling
- Multi-language programming support
- Advanced instruction following for coding tasks
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its extensive training on 2T tokens with a carefully curated mix of code and natural language data, combined with its 16K window size for handling larger code contexts and project-level understanding.
Q: What are the recommended use cases?
The model excels at code generation, completion, and understanding tasks. It's particularly well-suited for project-level code completion, technical documentation, and both English and Chinese programming assistance.