diff --git a/vllm_ascend/models/deepseek_v2.py b/vllm_ascend/models/deepseek_v2.py
index 6d0913c18c9..1811255e2c6 100644
--- a/vllm_ascend/models/deepseek_v2.py
+++ b/vllm_ascend/models/deepseek_v2.py
@@ -32,8 +32,7 @@
 from torch import nn
 from transformers import PretrainedConfig
 from vllm.attention import Attention, AttentionMetadata
-from vllm.config import (CacheConfig, ModelConfig, VllmConfig,
-                         get_current_vllm_config)
+from vllm.config import CacheConfig, ModelConfig, VllmConfig
 from vllm.distributed import (get_pp_group, get_tensor_model_parallel_rank,
                               get_tensor_model_parallel_world_size,
                               get_tp_group, split_tensor_along_last_dim,
@@ -374,10 +373,6 @@ def __init__(
         self.tp_group = get_tp_group().device_group
         self.tp_rank = get_tp_group().rank_in_group
         self.ep_group = get_ep_group()
-        self.kv_consumer = None
-        transfer_config = get_current_vllm_config().kv_transfer_config
-        if transfer_config is not None:
-            self.kv_consumer = transfer_config.kv_role == "kv_consumer"
 
         self.params_dtype = torch.get_default_dtype()
         self.rm_router_logits = self.experts.rm_router_logits
@@ -395,12 +390,6 @@ def forward(self,
 
         is_prefill = forward_context.with_prefill
 
-        # If this node is kv_consumer, we force the moe always runs in decode path to make sure
-        # the behaviour aligned between dummy_run and normal model_execute.
-        if self.kv_consumer:
-            is_prefill = False
-            enable_force_load_balance = False
-
         # router_logits: (num_tokens, n_experts)
         router_logits = None
         if not self.rm_router_logits and not self.enable_multistream_moe: