diff --git a/docs/source/tutorials/Qwen3-Dense.md b/docs/source/tutorials/Qwen3-Dense.md
index 6717bf11..395f9dce 100644
--- a/docs/source/tutorials/Qwen3-Dense.md
+++ b/docs/source/tutorials/Qwen3-Dense.md
@@ -45,6 +45,7 @@ You can using our official docker image for supporting Qwen3 Dense models.
 Currently, we provide the all-in-one images.[Download images](https://quay.io/repository/ascend/vllm-ascend?tab=tags)
 
 #### Docker Pull (by tag)
+
 ```{code-block} bash
    :substitutions:
 
@@ -53,6 +54,7 @@ docker pull quay.io/ascend/vllm-ascend:|vllm_ascend_version|
 ```
 
 #### Docker run
+
 ```{code-block} bash
    :substitutions:
 
@@ -344,7 +346,7 @@ The configuration compilation_config = { "cudagraph_mode": "FULL_DECODE_ONLY"} i
 ### 8. Asynchronous Scheduling
 Asynchronous scheduling is a technique used to optimize inference efficiency. It allows non-blocking task scheduling to improve concurrency and throughput, especially when processing large-scale models.
 
-This optimization is enabled by setting `--async-scheduling`. 
+This optimization is enabled by setting `--async-scheduling`.
 
 ## Optimization Highlights