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vbaddi
requested review from
ochougul,
quic-amitraj,
quic-hemagnih and
quic-rishinr
as code owners
…T parity
- Rebased downstream wrapper stack to transformers==5.3.0 and aligned coupled deps
(huggingface-hub, peft, diffusers) in project config.
- Updated model wrapper compatibility paths across causal/VLM/audio/export flows
to match upstream v5 APIs while preserving downstream public behavior.
- Hardened cache compatibility layer and runtime glue for mixed legacy/new cache
semantics used by downstream generation/export paths.
- Fixed attention/mask/rotary call-path mismatches introduced by upstream API
changes (including model-specific signature updates).
- Updated AWQ/quantizer and export compatibility paths to remain ONNX-safe.
- Resolved MoE/export edge cases (including Mixtral/gpt_oss) to keep
HF PyTorch -> downstream PyTorch -> ONNXRuntime token parity.
- Validation evidence:
pyenv activate qeff.mainline
python -m pytest -q tests/test_model_quickcheck.py -n 16
Result: 26 passed.
Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
…odeling_qeff Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
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cc: @quic-rishinr @quic-hemagnih @asmigosw @anujgupt-github