fix doc

Signed-off-by: nsdie <yeyifan@huawei.com>

Author: NSDie

docs/source/tutorials/Qwen3-Coder-30B-A3B.md

@@ -16,7 +16,7 @@ Refer to [feature guide](../user_guide/feature_guide/index.md) to get the featur
 
 ### Model Weight
 
-- `Qwen3-Coder-30B-A3B-Instruct`(BF16 version): require 1 Atlas 800 A3 (64G × 16) nodes or 1 Atlas 800 A2 (64G/32G × 8) nodes. [Download model weight](https://modelers.cn/models/Modelers_Park/Qwen3-Coder-30B-A3B-Instruct)
+- `Qwen3-Coder-30B-A3B-Instruct`(BF16 version): requires 1 Atlas 800 A3 node (with 16x 64G NPUs) or 1 Atlas 800 A2 node (with 8x 64G/32G NPUs). [Download model weight](https://modelers.cn/models/Modelers_Park/Qwen3-Coder-30B-A3B-Instruct)
 
 It is recommended to download the model weight to the shared directory of multiple nodes, such as `/root/.cache/`
 

docs/source/user_guide/support_matrix/supported_models.md

@@ -14,7 +14,7 @@ Get the latest info here: https://github.com/vllm-project/vllm-ascend/issues/160
 | DeepSeek Distill (Qwen/Llama) | ✅        |                                                                      |||||||||||||||||||
 | Qwen3                         | ✅        |                                                                      |||||||||||||||||||
 | Qwen3-based                   | ✅        |                                                                      |||||||||||||||||||
-| Qwen3-Coder                   | ✅        |                                                                      |✅|✅||✅|✅|✅|||✅|✅|✅|✅||||||[Qwen3-Coder-30B-A3B tutorial](../../tutorials/Qwen3-Coder-30B-A3B.md)|
+| Qwen3-Coder                   | ✅        |                                                                      | A2/A3 |✅||✅|✅|✅|||✅|✅|✅|✅||||||[Qwen3-Coder-30B-A3B tutorial](../../tutorials/Qwen3-Coder-30B-A3B.md)|
 | Qwen3-Moe                     | ✅        |                                                                      |||||||||||||||||||
 | Qwen3-Next                    | ✅        |                                                                      |||||||||||||||||||
 | Qwen2.5                       | ✅        |                                                                      |||||||||||||||||||