Code Llama is a family of Llama-based code models optimized for programming tasks such as code generation, completion, and repair, with variants specialized for base coding, Python, and instruction following. The repo documents the sizes and capabilities (e.g., 7B, 13B, 34B) and highlights features like infilling and large input context to support real IDE workflows. It targets both general software synthesis and language-specific productivity, offering strong performance among open models at release time. Typical usage includes prompt-driven generation, function or class completion, and zero-shot adherence to natural-language instructions about code changes. The ecosystem provides multiple distributions (e.g., HF format) so developers can integrate with standard toolchains and serving stacks. As part of the broader Llama effort, Code Llama complements instruction-tuned chat models by focusing on code-centric tasks and editor integrations.

Features

  • Multiple model sizes for different latency/quality needs
  • Specializations for base coding, Python, and instruction following
  • Infilling for middle-of-file completions
  • Strong zero-shot and prompt-conditioned code synthesis
  • Support for long context windows in coding workflows
  • Distributions compatible with common serving toolchains

Project Samples

Project Activity

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2025-10-08