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#machine learning Preprint Sep 2026

Predicting Quantization Price for Selecting PTQ Configurations Before Deployment

Weight-space post-training quantization is formulated as pre-deployment configuration selection using priced layer-output error and a trace reduction then yields a calibration-time price table and a budgeted price-guided selector, making fixed-geometry bit allocation a special case rather than the organizing problem.

Jun-Bin Qiu, Jian Mu, Wei-Tong Zhang et al. · 0 citations

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