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Sub-4-bit open models struggle with self-iterating 3D asset generation, Merve Noyan says

1 article1 sourcesince Oct 20Last article 2h ago ·

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Merve Noyan says large open models quantized below 4-bit perform well at writing app code using Pi, but struggle to generate 3D assets and to use their own output as critique for iteration.

She says a 2-bit Muse model needs steering to work, and that it is viable only on high-end consumer hardware such as a Mac Studio. This is a single X post with no supporting benchmarks or test details in the report.

Written by AI from the articles below · updated Oct 20, 2:48 PM ET

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Oct 20
  1. merveX
    Large open models below 4-bit struggle at self-iterating 3D asset generation

    AIMerve Noyan says large open models quantized below 4-bit do well at writing app code with Pi, but struggle to generate 3D assets and use their own output as critique for iteration. She says a 2-bit Muse model needs steering to work, and that it is only viable on high-end consumer hardware such as a Mac Studio.

    Image from @mervenoyann's post

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