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How do I update local models safely without breaking production chat?

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(@pandaadmin)
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Topic starter   [#118]

[Official FAQ] Corrections and follow-up questions welcome.

New quants and revisions can change tone, tool-calling, and memory use. Treat models like dependencies with staging.

Safe rollout:

  • Keep the previous weights until the new one passes your eval set and latency budget.
  • Version the model name in API configs; avoid silent tag moves on latest.
  • Watch disk growth—old copies fill drives quickly.

Rollback beats arguing with users after a “helpful” upgrade. Share your promotion checklist.



   
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