A matched high-precision reference trace forecasts invisible weight-update events in controlled low-precision runs, and a pre-frozen 10% fp32-master mask recovers ~61% of the RNE-vs-fp32 loss gap on three unseen targets.
CoopQ : Cooperative game inspired layerwise mixed precision quantization for LLMs
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Reference Traces for Auditing Invisible Weight Updates and Guiding Exact-Budget Protection
A matched high-precision reference trace forecasts invisible weight-update events in controlled low-precision runs, and a pre-frozen 10% fp32-master mask recovers ~61% of the RNE-vs-fp32 loss gap on three unseen targets.