diff --git a/vllm_ascend/quantization/quant_config.py b/vllm_ascend/quantization/quant_config.py
index abd7625ec1..b495e475ed 100644
--- a/vllm_ascend/quantization/quant_config.py
+++ b/vllm_ascend/quantization/quant_config.py
@@ -102,7 +102,8 @@ def get_quant_method(self, layer: torch.nn.Module,
         elif isinstance(layer, FusedMoE):
             if self.is_layer_skipped_ascend(prefix,
                                             self.packed_modules_mapping):
-                return AscendUnquantizedFusedMoEMethod(layer.moe)
+                return AscendUnquantizedFusedMoEMethod(
+                    layer.moe if hasattr(layer, 'moe') else None)
             return AscendFusedMoEMethod(self, prefix,
                                         self.packed_modules_mapping)
         elif isinstance(layer, VocabParallelEmbedding):
diff --git a/vllm_ascend/worker/model_runner_v1.py b/vllm_ascend/worker/model_runner_v1.py
index 594649c6d4..431509a885 100644
--- a/vllm_ascend/worker/model_runner_v1.py
+++ b/vllm_ascend/worker/model_runner_v1.py
@@ -1154,9 +1154,6 @@ def _process_reqs(
                                               attn_state,
                                               total_num_scheduled_tokens)
 
-        enable_dbo = self._check_dbo_is_valid(self.query_lens.tolist(),
-                                              attn_state,
-                                              total_num_scheduled_tokens)
         (padded_num_tokens_across_dp, num_tokens_across_dp, with_prefill,
          enable_dbo) = self._get_forward_metadata_across_dp_and_pad(
              total_num_scheduled_tokens, with_prefill, enable_dbo)