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Fixing _pre_quantization_dtype when torch_dtype is None #36930

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Merged
MekkCyber merged 3 commits into from
Mar 25, 2025
Merged

Fixing _pre_quantization_dtype when torch_dtype is None #36930

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22760d9
fix
MekkCyber Mar 24, 2025
fef8692
Merge branch 'main' into fix_bitnet
MekkCyber Mar 24, 2025
22dc0ef
Merge branch 'main' into fix_bitnet
MekkCyber Mar 24, 2025
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2 changes: 1 addition & 1 deletion src/transformers/modeling_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4448,7 +4448,7 @@ def from_pretrained(
# once the weights have been quantized
# Note that once you have loaded a quantized model, you can't change its dtype so this will
# remain a single source of truth
config._pre_quantization_dtype = torch_dtype
config._pre_quantization_dtype = torch_dtype if torch_dtype is not None else torch.get_default_dtype()

# Prepare the full device map
if device_map is not None:
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