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Swati Dhiman

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#natural language process... Preprint Aug 2026

Which Decisions Low-Bit Quantization Breaks, and How to Predict Them

This work tracks quantization across 16 models from 8 families under round-to-nearest, seven under AWQ, two under GPTQ and one under GGUF, at 8 down to 2 bits, and measures the margin, the picked option's score minus its best alternative's, which removes the protection a large margin affords.

Zekun Wu, Swati Dhiman, A. Koshiyama · 1 citation