Hugging Face Overview
CodeLlama-13B-Instruct-fp16 Overview
This model is a 13 billion parameter instruction-tuned variant of Meta's Code Llama, provided in fp16 (16-bit floating point) format. It is specifically designed to follow instructions for code generation and understanding tasks, making it suitable for use as a code assistant.
Key Capabilities
- Instruction Following: Optimized for understanding and executing code-related instructions.
- Code Synthesis & Understanding: Excels in generating and interpreting programming code.
- Extended Context Window: Supports up to 100,000 tokens at inference time, allowing for processing larger codebases or complex prompts.
- Transformer Architecture: Built on an optimized transformer architecture, similar to other Llama models.
- Python Optimization: While a general instruction model, the Code Llama family includes variants specifically optimized for Python.
Good For
- Code Assistant Applications: Ideal for building tools that help developers write, debug, or understand code based on natural language instructions.
- Research in Code LLMs: Provides a strong foundation for further research and fine-tuning in code-centric language models.
- Commercial Development: Licensed for commercial use, enabling integration into proprietary applications.
Users should load this fp16 model with trust_remote_code=True due to a change in the RoPE Theta value for correct results.