diff --git a/docs/source/locale/zh_CN/LC_MESSAGES/user_guide/feature_guide/quantization.po b/docs/source/locale/zh_CN/LC_MESSAGES/user_guide/feature_guide/quantization.po
index 54f524e3..d942cfbf 100644
--- a/docs/source/locale/zh_CN/LC_MESSAGES/user_guide/feature_guide/quantization.po
+++ b/docs/source/locale/zh_CN/LC_MESSAGES/user_guide/feature_guide/quantization.po
@@ -50,23 +50,23 @@ msgstr "安装 modelslim"
 #: ../../user_guide/feature_guide/quantization.md:9
 msgid ""
 "To quantize a model, users should install "
-"[ModelSlim](https://gitee.com/ascend/msit/blob/master/msmodelslim/README.md)"
+"[ModelSlim](https://gitcode.com/Ascend/msit/blob/master/msmodelslim/README.md)"
 " which is the Ascend compression and acceleration tool. It is an affinity-"
 "based compression tool designed for acceleration, using compression as its "
 "core technology and built upon the Ascend platform."
 msgstr ""
-"要对模型进行量化，用户应安装[ModelSlim](https://gitee.com/ascend/msit/blob/master/msmodelslim/README.md)，这是昇腾的压缩与加速工具。它是一种基于亲和性的压缩工具，专为加速设计，以压缩为核心技术，并基于昇腾平台构建。"
+"要对模型进行量化，用户应安装[ModelSlim](https://gitcode.com/Ascend/msit/blob/master/msmodelslim/README.md)，这是昇腾的压缩与加速工具。它是一种基于亲和性的压缩工具，专为加速设计，以压缩为核心技术，并基于昇腾平台构建。"
 
 #: ../../user_guide/feature_guide/quantization.md:11
 msgid ""
 "Currently, only the specific tag [modelslim-"
-"VLLM-8.1.RC1.b020_001](https://gitee.com/ascend/msit/blob/modelslim-"
+"VLLM-8.1.RC1.b020_001](https://gitcode.com/Ascend/msit/blob/modelslim-"
 "VLLM-8.1.RC1.b020_001/msmodelslim/README.md) of modelslim works with vLLM "
 "Ascend. Please do not install other version until modelslim master version "
 "is available for vLLM Ascend in the future."
 msgstr ""
 "目前，只有 modelslim 的特定标签 [modelslim-"
-"VLLM-8.1.RC1.b020_001](https://gitee.com/ascend/msit/blob/modelslim-"
+"VLLM-8.1.RC1.b020_001](https://gitcode.com/Ascend/msit/blob/modelslim-"
 "VLLM-8.1.RC1.b020_001/msmodelslim/README.md) 支持 vLLM Ascend。在未来 modelslim "
 "的主版本支持 vLLM Ascend 之前，请不要安装其他版本。"
 
@@ -85,12 +85,12 @@ msgid ""
 "ai/DeepSeek-V2-Lite) as an example, you just need to download the model, and"
 " then execute the convert command. The command is shown below. More info can"
 " be found in modelslim doc [deepseek w8a8 dynamic quantization "
-"docs](https://gitee.com/ascend/msit/blob/modelslim-"
+"docs](https://gitcode.com/Ascend/msit/blob/modelslim-"
 "VLLM-8.1.RC1.b020_001/msmodelslim/example/DeepSeek/README.md#deepseek-v2-w8a8-dynamic%E9%87%8F%E5%8C%96)."
 msgstr ""
 "以 [DeepSeek-V2-Lite](https://modelscope.cn/models/deepseek-"
 "ai/DeepSeek-V2-Lite) 为例，你只需要下载模型，然后执行转换命令。命令如下所示。更多信息可参考 modelslim 文档 "
-"[deepseek w8a8 动态量化文档](https://gitee.com/ascend/msit/blob/modelslim-"
+"[deepseek w8a8 动态量化文档](https://gitcode.com/Ascend/msit/blob/modelslim-"
 "VLLM-8.1.RC1.b020_001/msmodelslim/example/DeepSeek/README.md#deepseek-v2-w8a8-dynamic%E9%87%8F%E5%8C%96)。"
 
 #: ../../user_guide/feature_guide/quantization.md:32
diff --git a/docs/source/tutorials/multi_npu_quantization.md b/docs/source/tutorials/multi_npu_quantization.md
index a1f3a3be..8d41fdac 100644
--- a/docs/source/tutorials/multi_npu_quantization.md
+++ b/docs/source/tutorials/multi_npu_quantization.md
@@ -37,7 +37,7 @@ see https://www.modelscope.cn/models/vllm-ascend/QwQ-32B-W8A8
 
 ```bash
 # (Optional)This tag is recommended and has been verified
-git clone https://gitee.com/ascend/msit -b modelslim-VLLM-8.1.RC1.b020_001
+git clone https://gitcode.com/Ascend/msit -b modelslim-VLLM-8.1.RC1.b020_001
 
 cd msit/msmodelslim
 # Install by run this script
diff --git a/docs/source/tutorials/single_npu_qwen3_quantization.md b/docs/source/tutorials/single_npu_qwen3_quantization.md
index 46b84322..716ba0b0 100644
--- a/docs/source/tutorials/single_npu_qwen3_quantization.md
+++ b/docs/source/tutorials/single_npu_qwen3_quantization.md
@@ -34,7 +34,7 @@ see https://www.modelscope.cn/models/vllm-ascend/Qwen3-8B-W4A8
 
 ```bash
 # The branch(br_release_MindStudio_8.1.RC2_TR5_20260624) has been verified
-git clone -b br_release_MindStudio_8.1.RC2_TR5_20260624 https://gitee.com/ascend/msit
+git clone -b br_release_MindStudio_8.1.RC2_TR5_20260624 https://gitcode.com/Ascend/msit
 
 cd msit/msmodelslim
 
diff --git a/docs/source/user_guide/feature_guide/quantization.md b/docs/source/user_guide/feature_guide/quantization.md
index 5300ad55..f66fd46c 100644
--- a/docs/source/user_guide/feature_guide/quantization.md
+++ b/docs/source/user_guide/feature_guide/quantization.md
@@ -6,13 +6,13 @@ Since 0.9.0rc2 version, quantization feature is experimentally supported in vLLM
 
 ## Install modelslim
 
-To quantize a model, users should install [ModelSlim](https://gitee.com/ascend/msit/blob/master/msmodelslim/README.md) which is the Ascend compression and acceleration tool. It is an affinity-based compression tool designed for acceleration, using compression as its core technology and built upon the Ascend platform.
+To quantize a model, users should install [ModelSlim](https://gitcode.com/Ascend/msit/blob/master/msmodelslim/README.md) which is the Ascend compression and acceleration tool. It is an affinity-based compression tool designed for acceleration, using compression as its core technology and built upon the Ascend platform.
 
 Install modelslim:
 
 ```bash
 # The branch(br_release_MindStudio_8.1.RC2_TR5_20260624) has been verified
-git clone -b br_release_MindStudio_8.1.RC2_TR5_20260624 https://gitee.com/ascend/msit
+git clone -b br_release_MindStudio_8.1.RC2_TR5_20260624 https://gitcode.com/Ascend/msit
 
 cd msit/msmodelslim
 
@@ -29,8 +29,8 @@ This conversion process will require a larger CPU memory, please ensure that the
 :::
 
 ### Adapts and change
-1. Ascend does not support the `flash_attn` library. To run the model, you need to follow the [guide](https://gitee.com/ascend/msit/blob/master/msmodelslim/example/DeepSeek/README.md#deepseek-v3r1) and comment out certain parts of the code in `modeling_deepseek.py` located in the weights folder.
-2. The current version of transformers does not support loading weights in FP8 quantization format. you need to follow the [guide](https://gitee.com/ascend/msit/blob/master/msmodelslim/example/DeepSeek/README.md#deepseek-v3r1) and delete the quantization related fields from `config.json` in the weights folder
+1. Ascend does not support the `flash_attn` library. To run the model, you need to follow the [guide](https://gitcode.com/Ascend/msit/blob/master/msmodelslim/example/DeepSeek/README.md#deepseek-v3r1) and comment out certain parts of the code in `modeling_deepseek.py` located in the weights folder.
+2. The current version of transformers does not support loading weights in FP8 quantization format. you need to follow the [guide](https://gitcode.com/Ascend/msit/blob/master/msmodelslim/example/DeepSeek/README.md#deepseek-v3r1) and delete the quantization related fields from `config.json` in the weights folder
 
 ### Generate the w8a8 weights