diff --git a/unimol_tools/unimol_tools/models/nnmodel.py b/unimol_tools/unimol_tools/models/nnmodel.py
index b5da71f..a209dc8 100644
--- a/unimol_tools/unimol_tools/models/nnmodel.py
+++ b/unimol_tools/unimol_tools/models/nnmodel.py
@@ -103,8 +103,16 @@ def _init_model(self, model_name, **params):
         :return: An instance of the specified neural network model.
         :raises ValueError: If the model name is not recognized.
         """
+        freeze_layers = params.get('freeze_layers', None)
+        freeze_layers_reversed = params.get('freeze_layers_reversed', False)
         if model_name in NNMODEL_REGISTER:
             model = NNMODEL_REGISTER[model_name](**params)
+            if isinstance(freeze_layers, str):
+                freeze_layers = freeze_layers.replace(' ', '').split(',')
+            if isinstance(freeze_layers, list):
+                for layer_name, layer_param in model.named_parameters():
+                    should_freeze = any(layer_name.startswith(freeze_layer) for freeze_layer in freeze_layers)
+                    layer_param.requires_grad = not (freeze_layers_reversed ^ should_freeze)
         else:
             raise ValueError('Unknown model: {}'.format(self.model_name))
         return model
diff --git a/unimol_tools/unimol_tools/train.py b/unimol_tools/unimol_tools/train.py
index 0b0eeba..57f3c1f 100644
--- a/unimol_tools/unimol_tools/train.py
+++ b/unimol_tools/unimol_tools/train.py
@@ -41,6 +41,8 @@ def __init__(self,
                 max_norm=5.0,
                 use_cuda=True,
                 use_amp=True,
+                freeze_layers=None,               
+                freeze_layers_reversed=False,     
                 **params,
                 ):
         """
@@ -80,6 +82,8 @@ def __init__(self,
         :param max_norm: float, default=5.0, max norm of gradient clipping.
         :param use_cuda: bool, default=True, whether to use GPU.
         :param use_amp: bool, default=True, whether to use automatic mixed precision.
+        :param freeze_layers: str or list, frozen layers by startwith name list. ['encoder', 'gbf'] will freeze all the layers whose name start with 'encoder' or 'gbf'.
+        :param freeze_layers_reversed: bool, default=False, inverse selection of frozen layers
         :param params: dict, default=None, other parameters.
 
         """
@@ -105,6 +109,8 @@ def __init__(self,
         config.max_norm = max_norm
         config.use_cuda = use_cuda
         config.use_amp = use_amp
+        config.freeze_layers = freeze_layers
+        config.freeze_layers_reversed = freeze_layers_reversed
         self.save_path = save_path
         self.config = config