diff --git a/vllm_ascend/quantization/w8a8_dynamic.py b/vllm_ascend/quantization/w8a8_dynamic.py
index 6c44a6a..aeadc7b 100644
--- a/vllm_ascend/quantization/w8a8_dynamic.py
+++ b/vllm_ascend/quantization/w8a8_dynamic.py
@@ -130,6 +130,7 @@ def fused_experts_with_mc2(
         "shared_expert_rank_num": 0,
         "moe_expert_num": moe_expert_num,
         "global_bs": global_bs,
+        "expert_scales": topk_weights.to(torch.float32),
     }
 
     rank = torch.distributed.get_rank()
@@ -158,8 +159,8 @@ def fused_experts_with_mc2(
 
     output = torch_npu.npu_moe_distribute_dispatch(**kwargs_mc2)
     # comm_stream.wait_stream(torch.npu.current_stream())
-    expand_x, dynamic_scale, expand_idx, expert_token_nums, ep_recv_counts = output[
-        0:5]
+    expand_x, dynamic_scale, expand_idx, expert_token_nums, ep_recv_counts, _, expand_scales = output[
+        0:7]
 
     if shared_experts is not None:
         with npu_stream_switch("moe_secondary", 0):
@@ -187,6 +188,7 @@ def fused_experts_with_mc2(
         "shared_expert_rank_num": 0,
         "moe_expert_num": moe_expert_num,
         "global_bs": 0,
+        "expand_scales": expand_scales,
     }
     tp_recv_counts = torch.empty(1,
                                  dtype=torch.int32,