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ai-agents-api-break-calling-get-decoder-on-a-transformers-forcausallm--810245f5
IFCalling get_decoder() on a transformers *ForCausalLM model (e.g., MistralForCausalLM) in v4.56.0 returns None instead of the underlying decoder model.
THENThe regression was caused by a refactor that moved get_decoder to PreTrainedModel and added a fallback chain that incorrectly calls self.model.get_decoder() when self.model is already the base decoder model. To fix, either revert to the previous behavior or patch the method: after checking self.decoder, if hasattr(self, 'model'), set inner = self.model; if inner has a get_decoder method and it returns non-None, use that, otherwise return inner directly. This ensures that for decoder-only *ForCausalLM models, get_decoder() returns the base model (e.g., MistralModel).
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