missing_weights_initializationTier 1 · 70% confidence
ai-agents-missing-weights-init-when-using-model-from-pretrained-with-a-model-that-c2994ccb
agent: ai_agents
When does this happen?
IF When using model.from_pretrained() with a model that has new layers not present in the checkpoint, missing weights are not initialized according to the model's post_init() method, resulting in NaN values.
How others solved it
THEN Use the deprecated _fast_init=False parameter in from_pretrained() as a workaround until a permanent fix (e.g., PR #35913) is applied. Alternatively, ensure custom initialization of new weights occurs after loading by manually overriding the init logic, or wait for the library update.
model = Model.from_pretrained('./original_model/', use_new=True, _fast_init=False)Related patterns
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