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ruvnet--RuView/docs
ruv 92d433523d bench: deployed quantized accuracy + QAT for micro edge model
int8 PTQ lossless (74.70%, 73.5KB); int4 naive PTQ drops below SOTA
(70.21%) but QAT recovers to 74.46% (36.7KB) - still beats MultiFormer.
A SOTA-beating WiFi-pose model genuinely runs in ~37KB int4 (QAT) /
73KB int8. Distillation negative noted.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-31 01:23:30 -04:00
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