fix: skip prepare_model_for_kbit_training to avoid OOM
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@@ -131,10 +131,7 @@ def train(config_path):
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print(f"✗ Failed: {e}")
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raise RuntimeError("All loading strategies failed!")
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# Prepare model for k-bit training
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from peft import prepare_model_for_kbit_training
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model = prepare_model_for_kbit_training(model)
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print("Model prepared for k-bit training.")
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# Note: Skip prepare_model_for_kbit_training to avoid OOM
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# Add LoRA
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lora_config = LoraConfig(
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