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
get_method now returns (method, reason). The reason distinguishes
user opt-in (lora_force_diffusers), class-forced, hash-forced, and
arch-unsupported routes from the default native path; surfaced in
the info-level "Network load: type=LoRA load=<method>(<reason>)"
line so users can tell why a given load took a particular path.
CalamitousFelicitousness
Vladimir Mandic