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avoid wrap 4bit-quantized model into DP #45407

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Merged
SunMarc merged 3 commits into from
Apr 15, 2026
+6 −2
Merged

avoid wrap 4bit-quantized model into DP #45407

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015eafb
avoid wrap 4bit-quantized model into DP
kaixuanliu Apr 13, 2026
88e02af
Merge branch 'main' into 4bit-parallel
kaixuanliu Apr 14, 2026
a90b7bd
Merge branch 'main' into 4bit-parallel
SunMarc Apr 14, 2026
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8 changes: 6 additions & 2 deletions src/transformers/trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2415,8 +2415,12 @@ def _wrap_model(self, model: nn.Module, training: bool = True, dataloader: DataL
return model
return smp.DistributedModel(model, backward_passes_per_step=self.args.gradient_accumulation_steps)

# Multi-gpu training, 8bit models does not support DP
if self.args.n_gpu > 1 and not getattr(model, "is_loaded_in_8bit", False):
# Multi-gpu training, quantized models do not support DP
if (
self.args.n_gpu > 1
and not getattr(model, "is_loaded_in_8bit", False)
and not getattr(model, "is_loaded_in_4bit", False)
):
model = nn.DataParallel(model)

# Note: in torch.distributed mode, there's no point in wrapping the model
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