Code Llama

Code Llama

Category: Programming Tools

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 — 7B13B, 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:


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.

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