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src/llmfactory/model/utils/mod.py

+from typing import TYPE_CHECKING
+
+from ...extras.constants import MOD_SUPPORTED_MODELS
+
+
+if TYPE_CHECKING:
+    from transformers import PretrainedConfig, PreTrainedModel
+
+    from ...hparams import ModelArguments
+
+
+def load_mod_pretrained_model(**init_kwargs) -> "PreTrainedModel":
+    from MoD import AutoMoDModelForCausalLM
+
+    return AutoMoDModelForCausalLM.from_pretrained(**init_kwargs)
+
+
+def convert_pretrained_model_to_mod(
+    model: "PreTrainedModel", config: "PretrainedConfig", model_args: "ModelArguments"
+) -> "PreTrainedModel":
+    from MoD import apply_mod_to_hf
+
+    if getattr(config, "model_type", None) not in MOD_SUPPORTED_MODELS:
+        raise ValueError("Current model is not supported by mixture-of-depth.")
+
+    model = apply_mod_to_hf(model)
+    model = model.to(model_args.compute_dtype)
+    return model