efficient-transformers

Add, modify, or review QEfficient transform code. Use when the user wants a new PyTorch transform, module mapping, method mapper, module mutator, quantization transform, prefill/sampler/SPD/blocking transform, ONNX-adjacent transform wiring, or tests for transform registration/parity in `QEfficient/base/pytorch_transforms.py`, `QEfficient/transformers/models/pytorch_transforms.py`, `QEfficient/transformers/quantizers/quant_transforms.py`, `QEfficient/base/modeling_qeff.py`, or `QEfficient/transformers/models/modeling_auto.py`.

Add support for a new Hugging Face model in this QEfficient repo. Use when the user provides a Hub model id, pasted model card, config excerpt, or architecture name and wants the QEff equivalent implemented, mapped to the closest existing wrapper family, validated with a tiny or config-derived test model, and covered through `tests/test_model_quickcheck.py`.

Rebase downstream QEff wrappers onto Hugging Face Transformers mainline with minimal divergence, preserving runtime/export parity and validating against tests/test_model_quickcheck.py.