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Signed-off-by: Xin He <xin3.he@intel.com>
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Pull request overview
This PR updates AutoRound’s GPTQ-Marlin integration to be compatible with gptqmodel 6.0 API changes and improves WOQ[RTN] behavior by explicitly skipping unsupported bit-width quantization with a one-time warning.
Changes:
- Skip WOQ[RTN] quantization for unsupported
bitsvalues (only 4/8 supported) with awarning_once. - Add a
gptqmodel >= 6.0.0compatibility path forMarlinQuantLinearconstruction usingvalidate_kwargsand manual attribute initialization.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| auto_round/utils/missing_tensors.py | Adds an early skip + warning for unsupported WOQ[RTN] bit-widths when packing missing tensors. |
| auto_round_extension/cuda/gptqmodel_marlin.py | Introduces a gptqmodel 6.0-specific initialization path for Marlin quant linear layers. |
wenhuach21
reviewed
Apr 7, 2026
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Author
|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
Signed-off-by: Xin He <xin3.he@intel.com>
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Author
|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
for more information, see https://pre-commit.ci
wenhuach21
reviewed
Apr 7, 2026
wenhuach21
reviewed
Apr 7, 2026
wenhuach21
self-requested a review
April 7, 2026 06:01
wenhuach21
approved these changes
Apr 7, 2026
Signed-off-by: Xin He <xin3.he@intel.com>
Signed-off-by: Xin He <xin3.he@intel.com>
for more information, see https://pre-commit.ci
Contributor
Author
|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
XuehaoSun
pushed a commit
that referenced
this pull request
Apr 8, 2026
#1663) Signed-off-by: Xin He <xin3.he@intel.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
|
@xin3he Please we have fixed this in GPT-QModel |
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