reimplement neftune
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@@ -206,8 +206,7 @@ def load_model_and_tokenizer(
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tokenizer.__class__.register_for_auto_class()
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# Initialize adapters
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if is_trainable:
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model = prepare_model_for_training(model, model_args.upcast_layernorm, finetuning_args.finetuning_type)
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model = prepare_model_for_training(model=model, finetuning_args=finetuning_args) if is_trainable else model
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model = init_adapter(model, model_args, finetuning_args, is_trainable, is_mergeable)
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model = model.train() if is_trainable else model.eval()
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