Sub-4-bit open models struggle with self-iterating 3D asset generation, Merve Noyan says
Overview
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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merve@mervenoyannXLarge open models below 4-bit struggle at self-iterating 3D asset generationAIMerve 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.

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