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automatic/modules/lora
CalamitousFelicitousness 9b37a1535c fix(lora): exact lora application on sdnq-quantized layers
Baking a lora into a quantized weight requantizes it, and on low-bit
formats round-to-nearest erases sub-step deltas (uint4 retains roughly
2/group_size of the signal). Plain lora deltas now ride the sdnq svd
side-channel: factors append to svd_up/svd_down with the down factor
hadamard-rotated, applied by the dequantizer at full precision in every
forward mode. Apply and remove are exact and take no weight backup.

- non-factorable families (dora, lokr, loha, oft, cp mid, dense bias)
  fall back to requantize with a per-pass summary warning
- native fuse now honors the quantized-model guard; fuse requantized in
  place on every network swap and accumulated drift
- layers that fell back on a mixed set restore from backup before
  re-entering the factor path; untargeted quantized layers are no
  longer flagged
- test/test-sdnq-lora-factors.py pins the erasure law, factor-path
  exactness, memory accounting and set transitions
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