Tool Introduction
Code Llama - Open Foundation Models for Code Generation
Code Llama is a family of state-of-the-art open-source large language models developed by Meta AI, built on top of the Llama 2 architecture and specifically fine-tuned for code-related tasks. Released in 2023, Code Llama aims to empower developers, researchers, and enterprises with powerful, transparent, and customizable AI coding capabilities.
🔹 Key Features:
- Multiple Model Sizes: Available in three parameter scales — 7B, 13B, and 34B — to suit different performance and resource requirements.
- Specialized Variants:
- Code Llama (Base): General-purpose code completion.
- Code Llama – Python: Optimized specifically for Python.
- Code Llama – Instruct: Fine-tuned to follow natural language instructions for code generation (e.g., “Write a function to sort a list”).
- Long Context Support: Supports input sequences up to 100,000 tokens (in later versions), enabling understanding of large codebases or complex prompts.
- Multilingual Code Understanding: Trained on data spanning 100+ programming languages, including Python, C++, Java, JavaScript, PHP, TypeScript, and more.
- Fill-in-the-Middle (FIM) Capability: Can complete code not just at the end of a file, but also in the middle—crucial for real-world IDE integration.
🔹 Performance:
Code Llama achieves strong results on standard benchmarks:
- HumanEval: Up to 53.7% pass@1 (34B Instruct version)
- MBPP: Over 70% accuracy
These scores rival or exceed earlier closed models like OpenAI’s Codex in certain settings.
🔹 Open & Responsible Access:
- Released under the Llama Community License, which permits research and commercial use (with some restrictions).
- Fully transparent: model weights, inference code, and training methodology are publicly available.
- Designed to run on consumer-grade GPUs (especially the 7B and 13B versions).
🔹 Use Cases:
- AI-powered coding assistants (local or cloud-based)
- Automated unit test generation
- Code migration and refactoring
- Educational tools and pair programming bots
- Custom enterprise tooling with private deployment
Official Resources:
- Meta AI Blog: https://ai.meta.com/blog/code-llama-large-language-model-coding/
- GitHub: https://github.com/facebookresearch/codellama
- Hugging Face: https://huggingface.co/codellama
Code Llama represents a major step toward open, accessible, and high-performance AI for software development—enabling innovation while maintaining developer control, privacy, and flexibility.