CodeLlama-7b-hf
| Property | Value |
|---|---|
| Parameter Count | 6.74B |
| License | Llama 2 |
| Tensor Type | BF16 |
| Research Paper | Code Llama: Open Foundation Models for Code |
What is CodeLlama-7b-hf?
CodeLlama-7b-hf is a specialized code generation model developed by Meta as part of the Code Llama family. It's a 7B parameter model designed specifically for code synthesis and understanding, utilizing an optimized transformer architecture trained between January and July 2023.
Implementation Details
The model is implemented using the Hugging Face Transformers library and can be deployed with PyTorch, supporting BF16 precision for efficient inference. It requires minimal setup with transformers and accelerate packages, making it accessible for developers.
- Optimized for code completion and infilling tasks
- Supports auto-regressive language generation
- Implements transformer architecture with state-of-the-art optimizations
- Trained on comprehensive code datasets
Core Capabilities
- Code completion with high accuracy
- Code infilling for context-aware insertions
- General code understanding and synthesis
- Support for multiple programming languages
Frequently Asked Questions
Q: What makes this model unique?
CodeLlama-7b-hf stands out for its specialized focus on code generation and understanding, offering a balanced combination of model size and performance. It's part of Meta's carefully crafted Code Llama family, specifically optimized for code-related tasks while maintaining reasonable hardware requirements.
Q: What are the recommended use cases?
The model is best suited for code completion, code understanding, and general programming assistance tasks. It's particularly effective for commercial and research applications in English and various programming languages, though it should be noted that instruction-following tasks are better handled by its Instruct variant.
