diff --git a/tutorials/source_zh_cn/advanced_use/checkpoint_for_hybrid_parallel.md b/tutorials/source_zh_cn/advanced_use/checkpoint_for_hybrid_parallel.md
index 3a174e6ee1c1f64d365f998a7be7433394142cfc..b70c466575034f7da535b51ca666c5588b20f88a 100644
--- a/tutorials/source_zh_cn/advanced_use/checkpoint_for_hybrid_parallel.md
+++ b/tutorials/source_zh_cn/advanced_use/checkpoint_for_hybrid_parallel.md
@@ -248,10 +248,11 @@ param_dict = load_checkpoint("./CKP-Integrated_1-4_32.ckpt")
 ### 步骤2：对模型并行参数做切分处理
 
 下面以一个具体的模型参数为例，参数名称为“model_parallel_weight"， 数据值为Tensor [[1, 2, 3, 4],  [5, 6, 7, 8]]，切分逻辑为2卡场景，按[2, 1]切分。
-​切分后数据分布情况如下：
+切分后数据分布情况如下：
+
 | Device0             | Device1              |
 | ------------------- | -------------------- |
-| Value [1, 2, 3, 4] | Value [5, 6, 7, 8] |
+| Value [1, 2, 3, 4]  | Value [5, 6, 7, 8]   |
 
 1. 对模型参数数据做切分。
 
diff --git a/tutorials/source_zh_cn/index.rst b/tutorials/source_zh_cn/index.rst
index 3f947e35f49884a81b9f6d5d56185d2fe19ec685..50fd39c66a48b28062e5b3fd8483e912655caa16 100644
--- a/tutorials/source_zh_cn/index.rst
+++ b/tutorials/source_zh_cn/index.rst
@@ -30,7 +30,6 @@ MindSpore教程
    advanced_use/visualization_tutorials
    advanced_use/mixed_precision
    advanced_use/distributed_training
-   advanced_use/checkpoint_for_hybrid_parallel
    advanced_use/computer_vision_application
    advanced_use/nlp_application
    advanced_use/customized_debugging_information
@@ -38,5 +37,6 @@ MindSpore教程
    advanced_use/on_device_inference
    advanced_use/model_security
    advanced_use/network_migration
+   advanced_use/checkpoint_for_hybrid_parallel
    advanced_use/mindspore_cpu_win_install
    advanced_use/community