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Merged
jiqing-feng merged 2 commits into from
Dec 16, 2024
Merged

update gptqmodel version #6

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9686aa0
update gptqmodel version
ZX-ModelCloud Dec 16, 2024
1228924
update gptqmodel version
ZX-ModelCloud Dec 16, 2024
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2 changes: 1 addition & 1 deletion docs/source/en/quantization/gptq.md
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Expand Up @@ -119,7 +119,7 @@ Only 4-bit models are supported, and we recommend deactivating the ExLlama kerne

</Tip>

The ExLlama kernels are only supported when the entire model is on the GPU. If you're doing inference on a CPU with AutoGPTQ (version > 0.4.2) or GPTQModel, then you'll need to disable the ExLlama kernel. This overwrites the attributes related to the ExLlama kernels in the quantization config of the config.json file.
The ExLlama kernels are only supported when the entire model is on the GPU. If you're doing inference on a CPU with AutoGPTQ (version > 0.4.2) or GPTQModel (version > 1.4.2), then you'll need to disable the ExLlama kernel. This overwrites the attributes related to the ExLlama kernels in the quantization config of the config.json file.

```py
import torch
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6 changes: 3 additions & 3 deletions src/transformers/quantizers/quantizer_gptq.py
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Expand Up @@ -70,13 +70,13 @@ def validate_environment(self, *args, **kwargs):
"0.4.2"
):
raise ImportError(
"You need a version of auto_gptq >= 0.4.2 to use GPTQ: `pip install --upgrade auto-gptq` or use gptqmodel by `pip install gptqmodel`. Please notice that auto-gptq will be deprecated in the future."
"You need a version of auto_gptq >= 0.4.2 to use GPTQ: `pip install --upgrade auto-gptq` or use gptqmodel by `pip install gptqmodel>=1.4.2`. Please notice that auto-gptq will be deprecated in the future."
)
elif is_gptqmodel_available() and (
version.parse(importlib.metadata.version("gptqmodel")) <= version.parse("1.3.1")
version.parse(importlib.metadata.version("gptqmodel")) < version.parse("1.4.2")
or version.parse(importlib.metadata.version("optimum")) < version.parse("1.23.99")
):
raise ImportError("The gptqmodel version should be >= 1.3.2, optimum version should >= 1.24.0")
raise ImportError("The gptqmodel version should be >= 1.4.2, optimum version should >= 1.24.0")

def update_torch_dtype(self, torch_dtype: "torch.dtype") -> "torch.dtype":
if torch_dtype is None:
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