Magicoder-S-DS-6.7B
| Property | Value |
|---|---|
| Parameter Count | 6.7B |
| License | DeepSeek |
| Base Model | DeepSeek-Coder-6.7B |
| Research Paper | arXiv:2312.02120 |
What is Magicoder-S-DS-6.7B?
Magicoder-S-DS-6.7B is an advanced code generation model that leverages the innovative OSS-Instruct methodology to produce high-quality, low-bias code. Developed by researchers at UIUC, it's built upon the DeepSeek-Coder base model and trained on a combination of OSS-Instruct-75K and Evol-Instruct-110K datasets.
Implementation Details
The model utilizes a transformer architecture and is optimized for code generation tasks. It's implemented using the Hugging Face transformers library and can be deployed with both float32 and bfloat16 precision.
- Trained on 75K OSS-Instruct generated samples
- Further refined with 110K evolution-based instruction data
- Implements specialized prompting format for optimal performance
Core Capabilities
- Generation of accurate and reliable code responses
- Low-bias code synthesis with real-world relevance
- Efficient handling of diverse programming tasks
- Context-aware code generation with reference to open-source patterns
Frequently Asked Questions
Q: What makes this model unique?
The model's uniqueness lies in its OSS-Instruct methodology, which leverages open-source code references to generate more realistic and diverse training data, resulting in reduced bias and improved code generation quality.
Q: What are the recommended use cases?
The model is specifically designed for coding tasks and software development applications. It's not recommended for non-coding tasks or general language processing.
