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MODEL Listed

codellama

CodeLlama is a specialized fine-tuned version of Llama 2, purpose-built to handle the nuances of software engineering workflows. Unlike general-purpose LLMs, it is optimized for code completion, complex logic reasoning, and technical debugging across dozens of programming languages. For developers looking to build local development tools, it offers a robust alternative to cloud-based APIs, ensuring code privacy and low-latency inference. It comes in various parameter sizes, allowing you to balance computational overhead with reasoning depth depending on your local hardware constraints. Whether you are integrating it into a VS Code extension via a local server or using it to automate unit test generation, CodeLlama provides a highly predictable foundation for programmatic code manipulation and architectural suggestions.

Ollamatext generation
01 / MODEL CARD

Model card

CodeLlama is a specialized fine-tuned version of Llama 2, purpose-built to handle the nuances of software engineering workflows. Unlike general-purpose LLMs, it is optimized for code completion, complex logic reasoning, and technical debugging across dozens of programming languages. For developers looking to build local development tools, it offers a robust alternative to cloud-based APIs, ensuring code privacy and low-latency inference. It comes in various parameter sizes, allowing you to balance computational overhead with reasoning depth depending on your local hardware constraints. Whether you are integrating it into a VS Code extension via a local server or using it to automate unit test generation, CodeLlama provides a highly predictable foundation for programmatic code manipulation and architectural suggestions.

Model typetext generation
ProviderOllama
LicenseSee Ollama library
02 / FILES & VERSIONS

Model files and versions

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Source repositoryhttps://ollama.com/library/codellama
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03 / DOWNLOAD

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04 / WORKFLOW

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  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

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