BBrainOutput

Best Local Coding LLMs

Open coding models for private in-editor completion, pull-request review and refactoring — ranked, with the minimum and recommended workstation for each. Keep proprietary source on hardware your team controls.

  1. 1
    CodeLlama 34BCodeLlama · ~34B · 16K ctx · Llama Community License

    The largest CodeLlama, suitable for review and refactoring. Newer 32B-class open coders generally beat it now; included for completeness of the family.

    Minimum: NVIDIA GeForce RTX 3090
    Recommended: NVIDIA B200 (placeholder)
  2. 2
    Qwen2.5-Coder 32BQwen · ~32B · 128K ctx · Apache-2.0

    A leading open coding model and a natural backbone for a serious local coding / product-engineering agent.

    Minimum: NVIDIA GeForce RTX 3090
    Recommended: NVIDIA B200 (placeholder)
  3. 3
    DeepSeek-Coder V2 (class)DeepSeek · ~16B · 128K ctx · DeepSeek License

    Representative entry for the DeepSeek coding family. Sizes vary widely across releases — verify the exact variant and its footprint before deploying.

    Minimum: Intel Arc A770 16GB
    Recommended: NVIDIA B200 (placeholder)
  4. 4
    StarCoder2 15BStarCoder · ~15B · 16K ctx · BigCode OpenRAIL-M

    The largest StarCoder2, trained on permissively-licensed code across many languages. Review the BigCode OpenRAIL-M license restrictions before commercial use.

    Minimum: NVIDIA GeForce RTX 3060 12GB
    Recommended: NVIDIA B200 (placeholder)
  5. 5
    Qwen2.5-Coder 14BQwen · ~14B · 128K ctx · Apache-2.0

    The mid-size coder: noticeably stronger than 7B for review and refactoring while still fitting a single 16GB card. A great private coding-agent backbone.

    Minimum: NVIDIA GeForce RTX 3060 12GB
    Recommended: NVIDIA B200 (placeholder)
  6. 6
    CodeLlama 13BCodeLlama · ~13B · 16K ctx · Llama Community License

    A mid-size CodeLlama. Solid and widely supported, though newer open coders of similar size tend to score higher on coding tasks.

    Minimum: NVIDIA GeForce RTX 3060 12GB
    Recommended: NVIDIA B200 (placeholder)
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