Fully deprecate AutoGPTQ and AutoAWQ for GPT-QModel by ZX-ModelCloud · Pull Request #2932 · huggingface/peft

ZX-ModelCloud · 2025-12-01T09:24:13Z

Remove autogptq clutter and autogptq related configs that are not worth adding backward compat.
See
huggingface/transformers#41567
huggingface/optimum#2385

Signed-off-by: ZX-ModelCloud <[email protected]>

Qubitium · 2025-12-02T09:10:01Z

@BenjaminBossan PR is now synced to Optimum/Transformer pending Prs. Ready for final review for this portion. All relevant tests passing paired with the tranformer companion pr with pending gpt-qmodel 5.4.4 release (later today).

Signed-off-by: ZX-ModelCloud <[email protected]>

BenjaminBossan · 2025-12-04T13:05:17Z

Thanks for all the work @ZX-ModelCloud and @Qubitium. Let's wait for the transformers PR to be merged and then do the final testing on PEFT.

There is a small merge conflict now in the Dockerfile. It's just because we use conda run now, it should be easy to fix. Could you please take care?

ZX-ModelCloud · 2025-12-05T01:35:38Z

Thanks for all the work @ZX-ModelCloud and @Qubitium. Let's wait for the transformers PR to be merged and then do the final testing on PEFT.

There is a small merge conflict now in the Dockerfile. It's just because we use conda run now, it should be easy to fix. Could you please take care?

Thank you for your reply. The Dockerfile conflict has been resolved.

BenjaminBossan · 2025-12-11T12:17:21Z

@ZX-ModelCloud @Qubitium The transformers PR is merged, so I think we can proceed with this one. Before I start testing and reviewing, does this PR supersede #2917? And should we have a min version check for v5.6.0?

Qubitium · 2025-12-11T15:17:38Z

@ZX-ModelCloud @Qubitium The transformers PR is merged, so I think we can proceed with this one. Before I start testing and reviewing, does this PR supersede #2917? And should we have a min version check for v5.6.0?

Yes. this pr superceeds the older pr and we should have a min check for 5.6.0.

BenjaminBossan · 2025-12-11T15:23:06Z

Yes. this pr superceeds the older pr and we should have a min check for 5.6.0.

Great, let's add the version check then. I closed the other PR.

Signed-off-by: ZX-ModelCloud <[email protected]>

Qubitium · 2025-12-12T02:58:19Z

 def is_gptqmodel_available():
    if importlib.util.find_spec("gptqmodel") is not None:
-        GPTQMODEL_MINIMUM_VERSION = packaging.version.parse("2.0.0")
+        GPTQMODEL_MINIMUM_VERSION = packaging.version.parse("5.6.0")


@BenjaminBossan Done.

Let's update the version.

BenjaminBossan

Thank you for the PR. The code changes look good, it's a nice clean up and simplification.

I did, however, have issues with testing gptqmodel:

1. pypcre

One of the dependencies, pypcre, could not be installed on my system. After some digging, I found that it tries to link to i386 version of libpcre2 and then the build fails:

'extra_link_args': ['/usr/lib/x86_64-linux-gnu/libpcre2-8.so', '/usr/lib/i386-linux-gnu/libpcre2-8.so.0']

...

/home/name/anaconda3/envs/peft-torch2.9/compiler_compat/ld: /usr/lib/i386-linux-gnu/libpcre2-8.so.0: error adding symbols: file in wrong format

I edited the code in the setup.py to remove this link and then it worked. Is this package really needed for gptqmodel?

2. random-word

More of an indirect issue, but one of your dependencies, random-word, doesn't really seem to be maintained anymore. It fixes the pytest version to < 9.0, which means that when I install gptqmodel, my pytest is downgraded. It would be great if this could be prevented.

3. marlin kernel

The final issue is that I get this error when trying to import gptqmodel:

ImportError: cannot import name 'gptqmodel_marlin_kernels' from 'gptqmodel.utils.marlin'

When I set GPTQMODEL_FORCE_BUILD=1, it says that "PyTorch C++ extension headers are unavailable", but I don't know why. When I try:

$ python -c "from torch.utils import cpp_extension as cpp_ext;print(cpp_ext)"
<module 'torch.utils.cpp_extension' from '/home/name/anaconda3/envs/peft-torch2.9/lib/python3.13/site-packages/torch/utils/cpp_extension.py'>

it works.

Anyway, I'm not even sure if I need marlin kernels, probably gptqmodel could be updated to not hard fail if they're not present.

LMK if you need further details to debug these issues.

Qubitium · 2025-12-15T01:40:28Z

One of the dependencies, pypcre, could not be installed on my system. After some digging, I found that it tries to link to i386 version of libpcre2 and then the build fails:
'extra_link_args': ['/usr/lib/x86_64-linux-gnu/libpcre2-8.so', '/usr/lib/i386-linux-gnu/libpcre2-8.so.0']
/home/name/anaconda3/envs/peft-torch2.9/compiler_compat/ld: /usr/lib/i386-linux-gnu/libpcre2-8.so.0: error adding symbols: file in wrong format

This is a serious/blocking bug for pypcre. I am trying to get to the bottom of this. Need to check why the i386 libs are getting included for the linker in x86_64 env as this will cause ld errors and another user also reported tihs same error. To reduce pypcre install barrier, I try to link to existing pcre2 before fallback source download and static compile.

random-word

Thanks. We did not realize random-word pinned pytest. Going to check and this and remove pkg depend.

Qubitium · 2025-12-15T08:25:20Z

@BenjaminBossan gpt-qmodel will release 5.6.4 today with updated depends on pypcre 0.2.8 which fixed the multi-arch bug where both i386 and x86_64 libpcre2 exists in some desktop os environments. Our ci hosts only server ubutunu pkgs so never ran into this issue. Apparently many desktop os apps require i386 libs and install those by default. random-words depend has been removed as well.

BenjaminBossan · 2025-12-15T10:27:28Z

Thanks @Qubitium I will give this version a try once it's on PyPI and will let you know if the error is resolved for me.

Qubitium · 2025-12-15T13:14:41Z

@BenjaminBossan https://github.com/ModelCloud/GPTQModel/releases/tag/v5.6.6 released to pypi.

BenjaminBossan

@Qubitium Thanks for the note. I still had issues with the Marlin kernel. I think the problem stems from here:

https://github.com/ModelCloud/GPTQModel/blob/9a79b62ce32ad8d95c1c9dbbd25ec31869614638/gptqmodel/nn_modules/qlinear/marlin_awq.py#L21

I fixed it locally by adding gptqmodel_marlin_kernels = None to the except clause here:

https://github.com/ModelCloud/GPTQModel/blob/9a79b62ce32ad8d95c1c9dbbd25ec31869614638/gptqmodel/utils/marlin.py#L19-L22

After this "fix", I got gptqmodel working and the tests passed on my machine. Could you please take a look at this issue? Also, for testing purposes, what would I need to do to enable Marlin kernels?

BenjaminBossan · 2025-12-15T14:46:33Z

 def is_gptqmodel_available():
    if importlib.util.find_spec("gptqmodel") is not None:
-        GPTQMODEL_MINIMUM_VERSION = packaging.version.parse("2.0.0")
+        GPTQMODEL_MINIMUM_VERSION = packaging.version.parse("5.6.0")


Let's update the version.

Qubitium · 2025-12-16T03:18:01Z

-- github double post ---

Qubitium · 2025-12-16T03:18:02Z

@Qubitium Thanks for the note. I still had issues with the Marlin kernel. I think the problem stems from here:

https://github.com/ModelCloud/GPTQModel/blob/9a79b62ce32ad8d95c1c9dbbd25ec31869614638/gptqmodel/nn_modules/qlinear/marlin_awq.py#L21

I fixed it locally by adding gptqmodel_marlin_kernels = None to the except clause here:

https://github.com/ModelCloud/GPTQModel/blob/9a79b62ce32ad8d95c1c9dbbd25ec31869614638/gptqmodel/utils/marlin.py#L19-L22

After this "fix", I got gptqmodel working and the tests passed on my machine. Could you please take a look at this issue? Also, for testing purposes, what would I need to do to enable Marlin kernels?

Thanks for the pointer. Yes. the awq marlin import was missing the var init, fixed on main. we will get 5.6.8 pushed out today which also fixed similar kernel import issues for macos.

to enable marlin kerenl:

must have nvidia ampere class or higher gpu
pass backend = 'marlin' in quantize config for manual control
marlin is auto selected as top priority kernel by default

HuggingFaceDocBuilderDev · 2025-12-16T13:05:41Z

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

BenjaminBossan · 2025-12-16T13:05:56Z

@Qubitium Please call make style and then the PR should be good to be merged.

Ah wait, we shouldn't merge until after the v5 release, since we need the huggingface/transformers#41567, right?

Qubitium · 2025-12-16T14:11:59Z

@BenjaminBossan make style pushed but unsure what the style error is from below or if related to this pr.

ruff check --fix src tests examples docs scripts docker
All checks passed!
ruff format src tests examples docs scripts docker
308 files left unchanged
doc-builder style src/peft tests docs/source --max_len 119
make: doc-builder: No such file or directory
make: *** [Makefile:17: style] Error 127

BenjaminBossan

We missed a spot where gptqmodel is imported unconditionally, which leads to the CI failure. Please check.

Signed-off-by: ZX-ModelCloud <[email protected]>

Qubitium · 2025-12-17T11:54:50Z

@BenjaminBossan We fixed uv compat. 5.6.12 releasd to pypi and prebuilt wheels are being created right now (likely take 1 hour to complete all the wheels). https://github.com/ModelCloud/GPTQModel/actions/runs/20301283813/job/58308710953

Once the wheels are done, you can trigger ci, and both uv and pip should install download the prebuilt wheel without having to build the full kernels.

BenjaminBossan · 2025-12-17T12:36:58Z

We don't use uv in PEFT, so I think there is no issue here. Still good that it's fixed.

BenjaminBossan

Thanks for the great work here and elsewhere @ZX-ModelCloud @Qubitium. The PR looks good. As mentioned above, let's wait until transformers v5 to merge this PR.

github-actions · 2026-01-12T15:06:38Z

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

BenjaminBossan · 2026-01-12T15:41:08Z

Not stale, still waiting for transformers v5, I'm sure it's ready SOON :)

BenjaminBossan · 2026-01-14T12:52:04Z

(failing docs build is unrelated)

Signed-off-by: ZX-ModelCloud <[email protected]>

ZX-ModelCloud · 2026-01-28T10:56:23Z

The transformers v5.0.0 release is now available, so this PR can be safely merged.

githubnemo · 2026-01-29T13:30:18Z

Thanks! :)

Merging PR huggingface#2932 introduced two bugs that lead to failing CPU and GPU pipelines. Firstly, a merge on main in the PR without a follow-up CI run re-introduced a deleted AutoGPTQ code branch which is now removed again. Secondly, gptqmodel seems, just like EETQ, to need a non-isolated build environment to find external dependencies like PyTorch to be installed correctly. As this was not present, the nightly slow CI wasn't run.

* Fix two issues introduced in AutoGPTQ deprecation Merging PR #2932 introduced two bugs that lead to failing CPU and GPU pipelines. Firstly, a merge on main in the PR without a follow-up CI run re-introduced a deleted AutoGPTQ code branch which is now removed again. Secondly, gptqmodel seems, just like EETQ, to need a non-isolated build environment to find external dependencies like PyTorch to be installed correctly. As this was not present, the nightly slow CI wasn't run. * Make sure that hf-doc-builder has requests Apparently `hf-doc-builder` doesn't expose its dependency to `requests` in the `setup.py` (it does in `pyproject.toml`). For some reason `requests` is not installed anymore (some other dependency removed it probably), so we're getting CI errors. * Fix docker build test The docker test build failed because of escaped values passed to the next task. Used a workaround to undo shell escaping in the JSON string without violating security measures. * Ignore DeprecationWarning for BPE as well --------- Co-authored-by: nemo <[email protected]>

fix gptq test

69789af

Signed-off-by: ZX-ModelCloud <[email protected]>

ZX-ModelCloud mentioned this pull request Dec 1, 2025

Fully deprecate AutoGPTQ for GPT-QModel huggingface/optimum#2385

Merged

3 tasks

ZX-ModelCloud added 2 commits December 1, 2025 09:49

remove auto_gptq

53a66fd

Signed-off-by: ZX-ModelCloud <[email protected]>

call hf_select_quant_linear_v2()

67449b7

Signed-off-by: ZX-ModelCloud <[email protected]>

ZX-ModelCloud changed the title ~~[WIP] Fully deprecate AutoGPTQ for GPT-QModel~~ [WIP] Fully deprecate AutoGPTQ and AutoAWQ for GPT-QModel Dec 1, 2025

ZX-ModelCloud added 2 commits December 2, 2025 03:04

remove auto_awq

7f94e7c

Signed-off-by: ZX-ModelCloud <[email protected]>

cleanup

099ac0d

Signed-off-by: ZX-ModelCloud <[email protected]>

ZX-ModelCloud marked this pull request as ready for review December 2, 2025 09:07

ZX-ModelCloud changed the title ~~[WIP] Fully deprecate AutoGPTQ and AutoAWQ for GPT-QModel~~ Fully deprecate AutoGPTQ and AutoAWQ for GPT-QModel Dec 2, 2025

ZX-ModelCloud added 2 commits December 2, 2025 10:03

format

c31fe66

Signed-off-by: ZX-ModelCloud <[email protected]>

fix PeftAwqGPUTests

8173e33

Signed-off-by: ZX-ModelCloud <[email protected]>

Merge branch 'main' into gptqmodel

d914291

BenjaminBossan mentioned this pull request Dec 11, 2025

[WIP]: Clean auto_gptq and auto_awq #2917

Closed

update GPTQMODEL_MINIMUM_VERSION to 5.6.0

440f66b

Signed-off-by: ZX-ModelCloud <[email protected]>

Qubitium reviewed Dec 12, 2025

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BenjaminBossan reviewed Dec 12, 2025

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BenjaminBossan reviewed Dec 15, 2025

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Merge branch 'huggingface:main' into gptqmodel

de38983

BenjaminBossan added the wait-transformers-v5 Don't merge before transformers v5 release. label Dec 16, 2025

style

571eae2

BenjaminBossan requested changes Dec 16, 2025

View reviewed changes

Comment thread src/peft/tuners/lora/gptq.py Outdated

call is_gptqmodel_available()

1506d5b

Signed-off-by: ZX-ModelCloud <[email protected]>

BenjaminBossan reviewed Dec 17, 2025

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Comment thread src/peft/tuners/oft/gptq.py Outdated

ZX-ModelCloud and others added 2 commits December 17, 2025 18:40

call is_gptqmodel_available()

0aa8bc4

Signed-off-by: ZX-ModelCloud <[email protected]>

Update minimum version for gptqmodel to 5.6.12

01d2dc6

BenjaminBossan approved these changes Dec 19, 2025

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Merge branch 'huggingface:main' into gptqmodel

bb991ce

ZX-ModelCloud added 4 commits January 16, 2026 19:40

When hf_device_map does not exist, infer the device_map

274419d

Signed-off-by: ZX-ModelCloud <[email protected]>

cleanup

7b1800f

Signed-off-by: ZX-ModelCloud <[email protected]>

Merge branch 'main' into gptqmodel

f9dfd90

Merge remote-tracking branch 'origin/main' into gptqmodel

1ffa32e

Merge branch 'main' into gptqmodel

ca36cf4

githubnemo merged commit d748229 into huggingface:main Jan 29, 2026

githubnemo mentioned this pull request Jan 29, 2026

CI: Add gptqmodel to the CI #2342

Closed

githubnemo mentioned this pull request Jan 30, 2026

Fix two issues introduced in AutoGPTQ deprecation #3014

Merged

albertvillanova mentioned this pull request Feb 2, 2026

CI fails with dev deps: NameError: name 'get_auto_gptq_quant_linear' is not defined huggingface/trl#4943

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1. pypcre

2. random-word

3. marlin kernel

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