Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Allow GPTQModel to auto select Marlin or faster kernels for inference only ops #2138

Merged
merged 5 commits into from
Jan 8, 2025
Merged

Allow GPTQModel to auto select Marlin or faster kernels for inference only ops #2138

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
c762c14
select quant_linear with pack
LRL-ModelCloud Dec 25, 2024
2cf0637
up GPTQMODEL_MINIMUM_VERSION
LRL-ModelCloud Dec 25, 2024
e265069
Update quantizer.py
Qubitium Jan 7, 2025
8c62473
update gptqmodel version
Qubitium Jan 7, 2025
9ba8920
Merge remote-tracking branch 'main/main' into select-quant-linear-wit…
LRL-ModelCloud Jan 7, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions optimum/gptq/quantizer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -220,7 +220,7 @@ def __init__(
)
self.exllama_version = self.exllama_config["version"]

def select_quant_linear(self, device_map: Union[str, dict]):
def select_quant_linear(self, device_map: Union[str, dict], pack: bool = False):
if is_gptqmodel_available():
self.quant_linear = hf_select_quant_linear(
bits=self.bits,
Expand All @@ -231,6 +231,7 @@ def select_quant_linear(self, device_map: Union[str, dict]):
meta=self.meta,
device_map=device_map,
backend=self.backend,
pack=pack,
)
else:
self.quant_linear = hf_select_quant_linear(
Expand Down Expand Up @@ -301,7 +302,7 @@ def convert_model(self, model: nn.Module, **kwargs):
)
del layers_to_be_replaced[name]

self.select_quant_linear(device_map=kwargs.get("device_map", None))
self.select_quant_linear(device_map=kwargs.get("device_map", None), pack=False)

self._replace_by_quant_layers(model, layers_to_be_replaced)

Expand Down Expand Up @@ -761,7 +762,7 @@ def pack_model(
layers = get_layers(model)
layers = {n: layers[n] for n in quantizers}

self.select_quant_linear(device_map=model.hf_device_map)
self.select_quant_linear(device_map=model.hf_device_map, pack=True)

self._replace_by_quant_layers(model, quantizers)
qlayers = get_layers(model, [self.quant_linear])
Expand Down
2 changes: 1 addition & 1 deletion optimum/utils/import_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,7 @@ def _is_package_available(pkg_name: str, return_version: bool = False) -> Union[
TRANSFORMERS_MINIMUM_VERSION = version.parse("4.25.0")
DIFFUSERS_MINIMUM_VERSION = version.parse("0.22.0")
AUTOGPTQ_MINIMUM_VERSION = version.parse("0.4.99") # Allows 0.5.0.dev0
GPTQMODEL_MINIMUM_VERSION = version.parse("1.4.2")
GPTQMODEL_MINIMUM_VERSION = version.parse("1.6.0")


# This is the minimal required version to support some ONNX Runtime features
Expand Down
Loading