quantized duplicated precisions.json, which is authoritative for the
quantized/non-quantized partition. default expressed a per-repository
recommendation nothing consumed: the library resolves its own per-platform
default. Both are gone from the schema.
Replace the static [1,256] xnnpack export with a dynamic-sequence-length one (Dim tokens in [2,256] + get_dynamic_dims_forward companion). ~4.6x faster on short inputs; 100% label agreement vs the PyTorch reference.
