diff --git a/fluid/PaddleCV/video/models/attention_lstm/attention_lstm.py b/fluid/PaddleCV/video/models/attention_lstm/attention_lstm.py
index 88bb6f334e8f32ff93e037b61fb7bcf673268f76..5d28dc47e297ba76e2b07fd69de2efa3ae6ccb0f 100755
--- a/fluid/PaddleCV/video/models/attention_lstm/attention_lstm.py
+++ b/fluid/PaddleCV/video/models/attention_lstm/attention_lstm.py
@@ -147,4 +147,5 @@ class AttentionLSTM(ModelBase):
         ]
 
     def weights_info(self):
-        return (None, None)
+        return ('attention_lstm_youtube8m', 
+                'https://paddlemodels.bj.bcebos.com/video_classification/attention_lstm_youtube8m.tar.gz')
diff --git a/fluid/PaddleCV/video/models/stnet/stnet.py b/fluid/PaddleCV/video/models/stnet/stnet.py
index e20ad0bd2adf21d6920a7660f86ff4a026b74060..c408aa0894265b2e7b8eccb8b49cae4c799018cc 100644
--- a/fluid/PaddleCV/video/models/stnet/stnet.py
+++ b/fluid/PaddleCV/video/models/stnet/stnet.py
@@ -128,6 +128,10 @@ class STNET(ModelBase):
     def pretrain_info(self):
         return ('ResNet50_pretrained', 'https://paddlemodels.bj.bcebos.com/video_classification/ResNet50_pretrained.tar.gz')
 
+    def weights_info(self):
+        return ('stnet_kinetics', 
+                'https://paddlemodels.bj.bcebos.com/video_classification/stnet_kinetics.tar.gz')
+
     def load_pretrain_params(self, exe, pretrain, prog, place):
         def is_parameter(var):
             if isinstance(var, fluid.framework.Parameter):
diff --git a/fluid/PaddleCV/video/models/tsn/tsn.py b/fluid/PaddleCV/video/models/tsn/tsn.py
index 5bc8aba3886df138fc5111965b344d47325063cd..82fdb3279376a15e796df09818c343db24f048b4 100644
--- a/fluid/PaddleCV/video/models/tsn/tsn.py
+++ b/fluid/PaddleCV/video/models/tsn/tsn.py
@@ -132,6 +132,10 @@ class TSN(ModelBase):
     def pretrain_info(self):
         return ('ResNet50_pretrained', 'https://paddlemodels.bj.bcebos.com/video_classification/ResNet50_pretrained.tar.gz')
 
+    def weights_info(self):
+        return ('tsn_kinetics', 
+                'https://paddlemodels.bj.bcebos.com/video_classification/tsn_kinetics.tar.gz')
+
     def load_pretrain_params(self, exe, pretrain, prog, place):
         def is_parameter(var):
             return isinstance(var, fluid.framework.Parameter) and (not ("fc_0" in var.name))