[BUG] Fix UlyssesSPAttentionHF.register_with_transformers() crash with PEFT models#7737
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stas00 merged 5 commits intodeepspeedai:masterfrom Dec 19, 2025
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hey @sfc-gh-truwase can we look into this change too? |
PEFT models do not inherit from transformers.PreTrainedModel, causing the isinstance check to fail and falling back to AutoConfig.from_pretrained() which expects a string path, leading to a TypeError/OSError. This commit adds a duck-typing check for the attribute, allowing PeftModel and other wrappers to work correctly with UlyssesSPAttentionHF.register_with_transformers(). Signed-off-by: Rakshit-gen <sisodiarakshit456@gmail.com>
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@Rakshit-gen, while this looks good to me, I will ask an expert to take a look. Can you please add a unit test as well? Thanks. |
Add test_ulysses_sp_hf_with_peft_model to verify that register_with_transformers works correctly with PEFT models that have a config attribute but don't inherit from PreTrainedModel. This test uses a mock PEFT model to verify the duck-typing check introduced in the fix. Signed-off-by: Rakshit-gen <sisodiarakshit456@gmail.com>
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@sfc-gh-truwase i had the tests written, just thought they wont be needed, added those! |
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Combine the hasattr and isinstance checks into a single condition since they both extract the config attribute in the same way. Signed-off-by: Rakshit-gen <sisodiarakshit456@gmail.com>
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Thank you for the fix, @Rakshit-gen
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@stas00 You're welcome. Glad I could help. If you notice anything else, feel free to let me know. |
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Description
This PR fixes a crash in
UlyssesSPAttentionHF.register_with_transformers()when a PEFT-wrapped model (e.g.,PeftModel) is passed as themodel_name_or_pathargument.The Issue
The function previously used an overly strict
isinstance(model_name_or_path, PreTrainedModel)check. Since PEFT models do not subclassPreTrainedModel(though they forward to one), the check would fail. The logic then fell through to theelseblock, treating the model object as a string path and callingAutoConfig.from_pretrained(model_name_or_path), which immediately raised aTypeErrororOSError.Changes
.configattribute, we treat it as a model and access the configuration directly.AutoConfig.Validation
Verified that:
PreTrainedModelobjects still register correctly.AutoConfig.from_pretrainedas expected.Fixes #7729