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Claude Code users chase local Qwen models

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Claude Code users chase local Qwen models
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// 68d agoNEWS

Claude Code users chase local Qwen models

The thread asks which sub-7B local model can reliably power Claude Code, with the OP saying a Qwen 3.5 2B distilled setup isn’t working. Early replies point toward Qwen 3.5 4B or larger, with stronger support for 9B and 27B variants if the hardware can handle them.

// ANALYSIS

This is basically a small-model reality check: Claude Code’s agent loop seems to care less about model hype and more about tool-call reliability, and the community is already drifting upward in size.

  • One commenter recommends Qwen 3.5 4B, 9B, or 27B Unsloth quants and says to use the biggest model that fits.
  • Another says 9B is the floor, but 27B is meaningfully better, which suggests tiny 2B distills are too brittle for agentic coding.
  • The OP’s failed 2B distilled attempt reinforces a common pattern: underpowered local models often stumble on structured tool use before they fail at raw code generation.
  • Anthropic’s Claude Code docs center Anthropic-hosted model aliases, so local backends still look more like a workaround than an officially documented route.
// TAGS
claude-codeai-codingclillmself-hostedagent

DISCOVERED

68d ago

2026-03-21

PUBLISHED

68d ago

2026-03-21

RELEVANCE

7/ 10

AUTHOR

abdelkrimbz