| Property | Value |
|---|---|
| Parameter Count | 6.74B |
| Model Type | Instruction-tuned Code Generation |
| License | Llama 2 |
| Research Paper | Code Llama Paper |
| Tensor Type | BF16 |
What is CodeLlama-7b-Instruct-hf?
CodeLlama-7b-Instruct-hf is an instruction-tuned variant of Meta's Code Llama family, specifically designed for code synthesis and understanding tasks. As part of the 7B parameter series, this model represents an optimal balance between performance and resource requirements, utilizing BF16 precision for efficient computation.
Implementation Details
The model employs an optimized transformer architecture and was trained between January and July 2023 using Meta's Research Super Cluster. It's implemented using the Hugging Face Transformers format and requires minimal setup with transformers and accelerate packages.
- Optimized for instruction-following and safer deployment
- Supports both code completion and infilling capabilities
- Implements BF16 tensor format for efficient processing
- Trained on comprehensive code-specific datasets
Core Capabilities
- Code completion and synthesis
- Instruction following and chat interactions
- Code infilling and modification
- General programming language support
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specific optimization for instruction-following in code-related tasks, making it particularly suitable for deployment in code assistance applications. It combines the capabilities of the base Code Llama architecture with enhanced safety features and instruction-following abilities.
Q: What are the recommended use cases?
The model is ideal for commercial and research applications involving code synthesis, understanding, and assistance tasks. It's particularly well-suited for developing code completion tools, programming assistants, and educational applications in software development.