improve model export
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@ -1,5 +1,6 @@
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import torch
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from typing import TYPE_CHECKING, Any, Dict, List, Optional
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from transformers import PreTrainedModel
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from llmtuner.extras.callbacks import LogCallback
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from llmtuner.extras.logging import get_logger
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@ -44,7 +45,10 @@ def export_model(args: Optional[Dict[str, Any]] = None):
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model, tokenizer = load_model_and_tokenizer(model_args, finetuning_args)
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if getattr(model, "quantization_method", None) and model_args.adapter_name_or_path is not None:
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logger.warning("Cannot merge adapters to a quantized model.")
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raise ValueError("Cannot merge adapters to a quantized model.")
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if not isinstance(model, PreTrainedModel):
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raise ValueError("The model is not a `PreTrainedModel`, export aborted.")
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model.config.use_cache = True
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if getattr(model.config, "torch_dtype", None) == "bfloat16":
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