fix: add use_orig_params=True for LoRA/PEFT compatibility
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train.py
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train.py
@@ -176,6 +176,7 @@ def train(config_path):
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"activation_checkpointing": True,
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"activation_checkpointing": True,
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"limit_all_gathers": True,
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"limit_all_gathers": True,
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"sync_module_states": True,
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"sync_module_states": True,
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"use_orig_params": True, # Critical for LoRA/PEFT
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"mixed_precision": {"param_dtype": torch.bfloat16, "reduce_dtype": torch.float32, "buffer_dtype": torch.float32},
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"mixed_precision": {"param_dtype": torch.bfloat16, "reduce_dtype": torch.float32, "buffer_dtype": torch.float32},
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"auto_wrap_policy": "TRANSFORMER_BASED_WRAP",
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"auto_wrap_policy": "TRANSFORMER_BASED_WRAP",
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"transformer_layer_cls_to_wrap": "Qwen3_5MoeDecoderLayer",
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"transformer_layer_cls_to_wrap": "Qwen3_5MoeDecoderLayer",
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