CodeLlama-7b-Python-hf
| Property | Value |
|---|---|
| Parameter Count | 6.74B |
| License | Llama 2 |
| Research Paper | View Paper |
| Tensor Type | BF16 |
| Training Period | January 2023 - July 2023 |
What is CodeLlama-7b-Python-hf?
CodeLlama-7b-Python-hf is a specialized Python variant of Meta's Code Llama family, featuring 6.74B parameters and optimized specifically for Python code generation and understanding. This model represents part of a larger collection that includes variations ranging from 7B to 34B parameters, designed to provide robust code synthesis capabilities.
Implementation Details
The model utilizes an optimized transformer architecture and is implemented using PyTorch with Hugging Face Transformers compatibility. It's trained on the same dataset as Llama 2 but with specialized weights for Python code understanding, and operates using BF16 tensor precision for efficient computation.
- Optimized for Python code generation and completion
- Built on the Llama 2 architecture with specialized training
- Supports direct integration with Hugging Face Transformers
- Implements efficient BF16 precision
Core Capabilities
- Python code completion and generation
- General code understanding and analysis
- Seamless integration with PyTorch workflows
- Production-ready code synthesis
Frequently Asked Questions
Q: What makes this model unique?
This model is specifically optimized for Python programming, unlike the base Code Llama model. It maintains high performance while focusing on Python-specific code generation and understanding tasks, making it ideal for Python developers and automated code generation systems.
Q: What are the recommended use cases?
The model is best suited for Python code completion, code generation, and understanding tasks. It's designed for commercial and research use, particularly in scenarios requiring automated Python code synthesis or development assistance.
