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deepspeed_zero3_pretrained_loading
infrastructure-deepspeed-zero3-pret-when-loading-a-pretrained-model-with-deepspeed-zer-aa36b311
IFWhen loading a pretrained model with DeepSpeed ZeRO Stage 3 and using `ignore_mismatched_sizes=True` in `from_pretrained`, the model may not properly initialize weights, resulting in shape mismatch warnings and poor performance.
THENFor DeepSpeed ZeRO-3, avoid using `ignore_mismatched_sizes=True` directly. Instead, load the model without that flag (which triggers automatic weight consolidation), then manually adjust the classifier head (e.g., replace the output layer with the desired number of classes) after loading, or use `deepspeed.zero.GatheredParameters` to gather sharded weights before modification.
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