diff --git a/wenet/branchformer/encoder.py b/wenet/branchformer/encoder.py
index 5c909f3fd..57ebe7cf0 100644
--- a/wenet/branchformer/encoder.py
+++ b/wenet/branchformer/encoder.py
@@ -16,7 +16,7 @@
 """Encoder definition."""
 
 import torch
-from typing import List, Union
+from typing import List, Optional, Union
 
 from wenet.branchformer.encoder_layer import BranchformerEncoderLayer
 from wenet.branchformer.cgmlp import ConvolutionalGatingMLP
@@ -55,10 +55,15 @@ def __init__(
         global_cmvn: torch.nn.Module = None,
         use_dynamic_left_chunk: bool = False,
         causal: bool = False,
+        query_bias: bool = True,
+        key_bias: bool = True,
+        value_bias: bool = True,
         gradient_checkpointing: bool = False,
         use_sdpa: bool = False,
         layer_norm_type: str = 'layer_norm',
         norm_eps: float = 1e-5,
+        n_kv_head: Optional[int] = None,
+        head_dim: Optional[int] = None,
     ):
         super().__init__(input_size, output_size, attention_heads,
                          cgmlp_linear_units, num_blocks, dropout_rate,
@@ -67,12 +72,17 @@ def __init__(
                          static_chunk_size, use_dynamic_chunk, global_cmvn,
                          use_dynamic_left_chunk, gradient_checkpointing,
                          use_sdpa, layer_norm_type, norm_eps)
-        # super().__init__()
 
         encoder_selfattn_layer_args = (
             attention_heads,
             output_size,
             attention_dropout_rate,
+            query_bias,
+            key_bias,
+            value_bias,
+            use_sdpa,
+            n_kv_head,
+            head_dim,
         )
 
         cgmlp_layer = ConvolutionalGatingMLP