CodeLlama-13b-hf
| Property | Value |
|---|---|
| Parameter Count | 13B |
| License | Llama2 |
| Research Paper | arXiv:2308.12950 |
| Training Period | January 2023 - July 2023 |
| Tensor Type | BF16 |
What is CodeLlama-13b-hf?
CodeLlama-13b-hf is part of Meta's Code Llama family of large language models, specifically designed for code synthesis and understanding. This 13B parameter version represents a balanced compromise between computational efficiency and performance, utilizing an optimized transformer architecture trained on a comprehensive code dataset.
Implementation Details
The model employs state-of-the-art transformer architecture and requires minimal setup with the Hugging Face transformers library. It operates with BF16 precision and can be deployed using standard PyTorch implementations with automatic device mapping.
- Easy integration with transformers and accelerate libraries
- Supports both CPU and GPU inference
- Optimized for memory efficiency with BF16 tensor type
- Comprehensive code understanding capabilities
Core Capabilities
- Code completion with context-aware suggestions
- Code infilling for adding missing sections
- Multi-programming language support
- Efficient token processing with specialized tokenizer
Frequently Asked Questions
Q: What makes this model unique?
CodeLlama-13b-hf stands out for its specialized focus on code generation and understanding, offering a balance between model size and performance. It's part of a carefully crafted family of models trained specifically for programming tasks, with demonstrable capabilities in code completion and infilling.
Q: What are the recommended use cases?
The model is best suited for code completion tasks, development assistance, and code understanding applications. It's particularly effective for general programming scenarios where context-aware code generation is needed, though it's important to note it's not specifically optimized for instruction-following or Python-specific tasks like its specialized variants.
