CodeLlama-34b-Python-hf
| Property | Value |
|---|---|
| Parameter Count | 33.7B |
| License | Llama 2 |
| Research Paper | Code Llama Paper |
| Tensor Type | BF16 |
| Training Period | January 2023 - July 2023 |
What is CodeLlama-34b-Python-hf?
CodeLlama-34b-Python-hf is a specialized Python variant of Meta's Code Llama family, featuring 33.7B parameters and optimized specifically for Python programming tasks. This model represents a significant advancement in code-focused language models, built upon the foundation of Llama 2 architecture with specific optimizations for code synthesis and understanding.
Implementation Details
The model utilizes an optimized transformer architecture and is implemented using PyTorch with Hugging Face Transformers integration. It operates with BF16 tensor precision and requires minimal setup, primarily needing the transformers and accelerate packages for deployment.
- Built on Llama 2 architecture with code-specific optimizations
- Trained on extensive Python-focused dataset
- Implements advanced code completion capabilities
- Optimized for production deployment with Hugging Face integration
Core Capabilities
- Advanced Python code completion and generation
- Code understanding and analysis
- Production-ready implementation
- Efficient inference with BF16 precision
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its specialized focus on Python programming, large parameter count (33.7B), and optimization for code-specific tasks. It's part of Meta's comprehensive Code Llama family but specifically tuned for Python development workflows.
Q: What are the recommended use cases?
The model is ideal for Python code synthesis, code completion, and understanding tasks. It's particularly well-suited for commercial and research applications requiring advanced Python code generation and analysis capabilities.
