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Under a pressed balanced offload, dispatched modules hold meta tensors whose data lives in the accelerate offload map. The factor path raised trying to move a meta svd tensor and aborted activation mid-pass; the legacy requantize path silently skipped those layers. Both left the model with a partially applied network. Rebuild the offload state with apply_balanced_offload(force) at activate and deactivate entry: modules come back real on cpu with hooks intact and the execution device unchanged, so both paths see usable tensors and the next forward re-onloads under the watermark.