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Running a 744B parameter model on a desktop, and why the trick is placement rather than compression

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

Most "run a big model at home" projects are really compression projects. Quantize harder, prune, distill, and eventually a smaller model wearing a big model's name fits in your VRAM. Colibri does something else, and the idea is worth understanding even if you never run it. It is an inference engine…

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  1. 2026-09-17 07:46 · DEV Community — AI
    Running a 744B parameter model on a desktop, and why the trick is placement rather than compression

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