CodeLlama 34B

Code Llama 34B is a large language model (LLM) developed by Meta, specifically designed for code generation and understanding. As part of the Code Llama family of models, it represents the most capable variant with 34 billion parameters, built upon the foundation of the Llama 2 architecture while specializing in coding tasks.

Architecture and Development

The model employs an optimized transformer architecture, trained between January and July 2023. While it shares similar training data with Llama 2, it uses different weights optimized for code-related tasks. The development process involved extensive training on code and natural language related to programming, though specific details about the training data composition are not publicly disclosed.

Capabilities and Performance

Code Llama 34B excels in multiple coding-related tasks, including:

• Code generation and completion
• Code infilling
• Instruction following
• Natural language-to-code translation
• Multi-language programming support (with particular strength in Python)

The model has demonstrated superior performance compared to other open-source LLMs in various coding benchmarks, as detailed in the Meta AI research paper.

Model Family and Implementation

The Code Llama family includes several variants:

• 7B parameter model
• 13B parameter model
• 34B parameter model (discussed here)
• 70B parameter model

Each size comes in three variants:

• Base model
• Python-specialized model
• Instruction-following model

The 34B parameter version represents a balance between the smaller models' efficiency and the larger models' capabilities. Implementation requires the transformers and accelerate libraries, with example code available in the Hugging Face model card.

Licensing and Usage

The model is released under a custom commercial license from Meta, which includes specific restrictions on commercial use. Users interested in deploying Code Llama 34B should review the license agreement and acceptable use policy. Meta also maintains various channels for reporting issues, including platforms for bug reports and policy violations.

Reference Links

• Hugging Face Model Card - Primary model repository and documentation
• Meta AI Blog Post - Official announcement and overview
• Research Paper - Detailed technical analysis and benchmarks
• License Agreement - Usage terms and conditions
• Responsible Use Guide - Ethical considerations and limitations
• Code Llama Family Collection - Complete model family documentation