fix llama factory link

Author: Zeyi-Lin

en/guide_cloud/integration/integration-llama-factory.md

@@ -6,7 +6,7 @@
 
 ![](/zh/guide_cloud/integration/llama_factory/0.png)
 
-We are thrilled to announce the partnership between **SwanLab** and **LLaMA Factory**, dedicated to providing Chinese trainers with a high-quality and efficient large model training experience.
+We are thrilled to announce the partnership between **SwanLab** and [LLaMA Factory](https://github.com/hiyouga/LLaMA-Factory), dedicated to providing Chinese trainers with a high-quality and efficient large model training experience.
 
 Now, when you start training with the new version of LLaMA Factory, you can check the "Use SwanLab" option in the "SwanLab configurations" card in the WebUI to track, record, and visualize this large model fine-tuning through SwanLab's powerful training dashboard.
 
@@ -40,7 +40,7 @@ cd LLaMA-Factory
 pip install -e ".[torch,metrics,swanlab]"
 ```
 
-> If you are an Ascend NPU user, you can visit: https://github.com/hiyouga/LLaMA-Factory/blob/main/README_zh.md#%E5%AE%89%E8%A3%85-llama-factory for the Ascend NPU version installation tutorial.
+> If you are an Ascend NPU user, you can visit: [Huawei NPU Adaptation](https://llamafactory.readthedocs.io/zh-cn/latest/advanced/npu.html) for the Ascend NPU version installation tutorial.
 
 ## 2. Start Training with LLaMA Board
 

zh/guide_cloud/integration/integration-llama-factory.md

@@ -6,7 +6,7 @@
 
 ![](/zh/guide_cloud/integration/llama_factory/0.png)
 
-我们非常高兴地宣布**SwanLab**与**LLaMA Factory**建立合作伙伴关系，致力于为中国训练者提供优质、高效的大模型训练体验。
+我们非常高兴地宣布**SwanLab**与[LLaMA Factory](https://github.com/hiyouga/LLaMA-Factory)建立合作伙伴关系，致力于为中国训练者提供优质、高效的大模型训练体验。
 
 现在你使用新版本的LLaMA Factory启动训练前，可以在WebUI的「SwanLab configurations」（中文：SwanLab参数设置）卡片中勾选「Use SwanLab」，就可以通过SwanLab强大的训练看板进行这一次大模型微调的跟踪、记录与可视化。
 
@@ -31,7 +31,7 @@ LLaMA Factory 是一个用于微调大语言模型 (LLM) 的开源工具包，
 首先，你需要确保你拥有Python3.8以上环境与Git工具，然后克隆仓库：
 
 ```shellscript
-git clone https://github.com/hiyouga/LLaMA-Factory
+git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory
 ```
 
 安装相关环境：
@@ -41,7 +41,7 @@ cd LLaMA-Factory
 pip install -e ".[torch,metrics,swanlab]"
 ```
 
-> 如果你是昇腾NPU用户，可以访问：https://github.com/hiyouga/LLaMA-Factory/blob/main/README\_zh.md#%E5%AE%89%E8%A3%85-llama-factory 查看昇腾NPU版安装教程。
+> 如果你是昇腾NPU用户，可以访问：[华为NPU适配](https://llamafactory.readthedocs.io/zh-cn/latest/advanced/npu.html) 查看昇腾NPU版安装教程。
 
 ## 2. 使用LLaMA Board开启训练