TheBloke/CodeLlama-13B-Python-fp16
TheBloke/CodeLlama-13B-Python-fp16 is a 13 billion parameter Code Llama model developed by Meta, specifically fine-tuned for Python programming tasks. This model utilizes an optimized transformer architecture and supports a 4096-token context length. It excels at code synthesis and understanding within the Python language, making it suitable for commercial and research applications requiring Python-specific code generation.
Loading preview...
CodeLlama-13B-Python-fp16 Overview
This model is a 13 billion parameter variant of Meta's Code Llama family, specifically optimized for Python programming. It is provided in fp16 (full precision) format, converted from Meta's original release. The model leverages an optimized transformer architecture and supports a context window of up to 4096 tokens, with fine-tuning supporting up to 16K tokens and inference up to 100K tokens.
Key Capabilities
- Python-Specific Code Generation: Designed to excel in code synthesis and understanding for the Python language.
- Autoregressive Language Model: Generates text sequentially, making it suitable for various coding tasks.
- Transformer Architecture: Built upon an optimized transformer architecture for efficient processing.
- Commercial and Research Use: Intended for both commercial applications and research in Python programming.
Good For
- Python Development: Ideal for developers and researchers working on Python-centric projects.
- Code Assistants: Can be integrated into tools requiring Python code completion, generation, or analysis.
- Research in Code LLMs: Provides a strong base for further research and fine-tuning in the domain of code-specific language models, particularly for Python.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.