Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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get_decoder_regression
ai-agents-get-decoder-regressi-calling-get-decoder-on-a-causallm-model-e-g-mistra-86e2e71d
IFCalling get_decoder() on a *CausalLM model (e.g., MistralForCausalLM) returns None instead of the underlying base model after the transformers v4.56.0 refactor.
THENModify the get_decoder method to fall back to the inner model itself when inner.get_decoder() returns None. Specifically, in the block that checks hasattr(self, 'model'), after calling inner.get_decoder(), if the result is None, return inner as the decoder. Alternatively, for decoder-only models that have no 'decoder' attribute, check if the model is a PreTrainedModel and return self.
Tier 170%
get_decoder_regression
ai-agents-get-decoder-regressi-calling-get-decoder-on-a-forcausallm-model-e-g-mis-ec3425ae
IFCalling get_decoder() on a *ForCausalLM model (e.g., MistralForCausalLM) after transformers v4.56.0 returns None instead of the underlying decoder model.
THENFix the PreTrainedModel.get_decoder() method to avoid recursive calls that cause None returns for decoder-only CausalLM models. One approach: add a check to return the inner model directly when the outer model is a CausalLM wrapper, or restructure the fallback logic to prevent infinite recursion. Ensure that get_decoder() consistently returns the base model for all decoder-only architectures.
Tier 170%
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