diff --git a/egs/librispeech/ASR/pruned_transducer_stateless7/train.py b/egs/librispeech/ASR/pruned_transducer_stateless7/train.py
index 6f6e9137d..0f5aad60b 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless7/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless7/train.py
@@ -123,7 +123,7 @@ def add_model_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--num-encoder-layers",
         type=str,
-        default="4,4,6,4",
+        default="2,2,4,6,4,2",
         help="Number of zipformer encoder layers per stack, comma separated.",
     )
 
@@ -131,7 +131,7 @@ def add_model_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--downsampling-factor",
         type=str,
-        default="1,2,4,2",
+        default="1,2,4,8,4,2",
         help="Downsampling factor for each stack of encoder layers.",
     )
 
@@ -139,14 +139,14 @@ def add_model_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--feedforward-dim",
         type=str,
-        default="1536,1536,1536,1536",
+        default="384,768,1024,1536,1024,768",
         help="Feedforward dimension of the zipformer encoder layers, per stack, comma separated.",
     )
 
     parser.add_argument(
         "--num-heads",
         type=str,
-        default="8,8,8,8",
+        default="4,4,4,8,4,4",
         help="Number of attention heads in the zipformer encoder layers: a single int or comma-separated list.",
     )
 
@@ -160,7 +160,7 @@ def add_model_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--encoder-dim",
         type=str,
-        default="384",
+        default="192,256,320,384,320,256",
         help="Embedding dimension in encoder stacks: a single int or comma-separated list."
     )
 
@@ -195,7 +195,7 @@ def add_model_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--encoder-unmasked-dim",
         type=str,
-        default="256",
+        default="164,192,256,256,256,192",
         help="Unmasked dimensions in the encoders, relates to augmentation during training.  "
         "A single int or comma-separated list.  Must be <= each corresponding encoder_dim."
     )
@@ -203,7 +203,7 @@ def add_model_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--cnn-module-kernel",
         type=str,
-        default="31",
+        default="31,31,15,15,15,31",
         help="Sizes of convolutional kernels in convolution modules in each encoder stack: "
         "a single int or comma-separated list.",
     )