diff --git a/docs/source/user_guide/configuration/additional_config.md b/docs/source/user_guide/configuration/additional_config.md
index 75d0149..31bae11 100644
--- a/docs/source/user_guide/configuration/additional_config.md
+++ b/docs/source/user_guide/configuration/additional_config.md
@@ -32,7 +32,7 @@ The following table lists the additional configuration options available in vLLM
 | `expert_map_path`             | str  | `None` | When using expert load balancing for the MOE model, an expert map path needs to be passed in. |
 | `chunked_prefill_for_mla`     | bool | `False` | Whether to enable the fused operator-like chunked_prefill. |
 | `kv_cache_dtype`     | str | `None` | When using the kv cache quantization method, kv cache dtype needs to be set, currently only int8 is supported. |
-| `enable_shared_expert_dp`     | bool | `True` | When the shared expert in DP, it has better performance but consumes more memory. When the memory is sensitive, this switch can be turned off manually. |
+| `enable_shared_expert_dp`     | bool | `False` | When the shared expert in DP, it has better performance but consumes more memory. Currently only DeepSeek series models are supported to use. |
 
 The details of each config option are as follows:
 
diff --git a/vllm_ascend/ascend_config.py b/vllm_ascend/ascend_config.py
index 9b35578..3769bcb 100644
--- a/vllm_ascend/ascend_config.py
+++ b/vllm_ascend/ascend_config.py
@@ -48,7 +48,7 @@ class AscendConfig:
         self.chunked_prefill_for_mla = additional_config.get(
             "chunked_prefill_for_mla", False)
         self.enable_shared_expert_dp = additional_config.get(
-            "enable_shared_expert_dp", True
+            "enable_shared_expert_dp", False
         ) and not self.torchair_graph_config.enabled and vllm_config.parallel_config.enable_expert_parallel