diff --git a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_features.mdx b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_features.mdx
index d022fe465..82e5a6abd 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_features.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_features.mdx
@@ -1247,7 +1247,7 @@ click [Server Arguments](../../advanced_features/server_arguments).
       <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`--lora-strict-loading`</td>
       <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`False`</td>
       <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Type: bool</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>A2, A3</td>
+      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Special for GPU</td>
     </tr>
     <tr>
       <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`--lora-drain-wait-threshold`</td>
@@ -1638,7 +1638,8 @@ click [Server Arguments](../../advanced_features/server_arguments).
     <tr>
       <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`--deepep-dispatcher-output-dtype`</td>
       <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`auto`</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>`auto`,<br/> `bf16`,<br/> `int8`</td>
+      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>`auto`,<br/> `bf16`,<br/> `int8`<br/>(When enabling DeepEP for a quantized model, set the dispatcher output dtype according to your model’s quantization.
+If the value is int8, you must also set the environment variable:DEEP_NORMAL_MODE_USE_INT8_QUANT=1)</td>
       <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>A2, A3</td>
     </tr>
     <tr>
@@ -2894,7 +2895,7 @@ click [Server Arguments](../../advanced_features/server_arguments).
     <tr>
       <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>`--enable-quant-communications`</td>
       <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`False`</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>bool flag (set to enable)</td>
+      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>bool flag (set to enable)<br/>(When using DeepEP with a quantized model, you must set --deepep-dispatcher-output-dtype)</td>
       <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>A2, A3</td>
     </tr>
   </tbody>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_models.mdx b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_models.mdx
index 71c3455ae..e372977f2 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_models.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_support_models.mdx
@@ -571,45 +571,6 @@ You are welcome to enable various models based on your business requirements.
   </tbody>
 </table>
 
-## Diffusion language models
-
-<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
-  <colgroup>
-    <col style={{width: "25.0%"}} />
-    <col style={{width: "25.0%"}} />
-    <col style={{width: "25.0%"}} />
-    <col style={{width: "25.0%"}} />
-  </colgroup>
-  <thead>
-    <tr style={{borderBottom: "2px solid #d55816"}}>
-      <th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Models</th>
-      <th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Model Family</th>
-      <th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>A2 Supported</th>
-      <th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>A3 Supported</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>inclusionAI/LLaDA2.0-flash</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>LLaDA2.0 (mini, flash)</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
-    </tr>
-    <tr>
-      <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>JetLM/SDAR-8B-Chat</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>SDAR (JetLM)</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
-    </tr>
-    <tr>
-      <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>JetLM/SDAR-30B-A3B-Chat</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>SDAR (JetLM)</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
-      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
-    </tr>
-  </tbody>
-</table>
-
 ## Embedding Models
 
 <table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>