Add Support for MiniMax 2.5 Model#1014
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…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>
…and do fresh runs Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
- add MiniMaxM2 MoE wrapper and KV/cache transform mappings - add tiny-random/minimax-m2.5 causal runtime parity coverage - handle MiniMax trust_remote_code compatibility in quickcheck Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
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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