docs: 更新README和文档内容，添加模型下载链接

- 在README中新增模型下载章节，包含ModelScope链接
- 更新模型示例代码中的默认检查点路径
- 优化训练脚本的注释和参数说明
- 添加中文文档的模型下载和体验地址
- 修复文档中的训练时长和设备信息

README_en.md

@@ -17,6 +17,7 @@
 </div>
 
 <div align="center">
+  <p><a href="https://datawhalechina.github.io/happy-llm/">📚 Online Reading</a></p>
   <h3>📚 A Comprehensive Tutorial on Large Language Model Principles and Practice from Scratch</h3>
   <p><em>Deep understanding of LLM core principles, hands-on implementation of your first large model</em></p>
 </div>
@@ -52,6 +53,23 @@
 | [Chapter 6: Large Model Training Practice](./docs/chapter6/第六章%20大模型训练流程实践.md) | Pre-training, supervised fine-tuning, LoRA/QLoRA efficient fine-tuning | 🚧 |
 | [Chapter 7: Large Model Applications](./docs/chapter7/第七章%20大模型应用.md) | Model evaluation, RAG retrieval enhancement, Agent intelligent agents | ✅ |
 
+### Model Downloads
+
+| Model Name | Download Link |
+| --- | --- |
+| Happy-LLM-Chapter5-Base-215M | [🤖 ModelScope](https://www.modelscope.cn/models/kmno4zx/happy-llm-215M-base) |
+| Happy-LLM-Chapter5-SFT-215M | [🤖 ModelScope](https://www.modelscope.cn/models/kmno4zx/happy-llm-215M-sft) |
+
+> *ModelScope Studio Experience: [🤖 Studio](https://www.modelscope.cn/studios/kmno4zx/happy_llm_215M_sft)*
+
+
+### PDF Version Download
+
+&emsp;&emsp;***This Happy-LLM PDF tutorial is completely open source and free. To prevent various marketing accounts from adding watermarks and selling to LLM beginners, we have pre-added Datawhale open source logo watermarks that do not affect reading in the PDF files. Please understand~***
+
+> *Happy-LLM PDF : https://github.com/datawhalechina/happy-llm/releases/tag/PDF*  
+> *Happy-LLM PDF Domestic Download: https://www.datawhale.cn/learn/summary/179*
+
 ## 💡 How to Learn
 
 &emsp;&emsp;This project is suitable for university students, researchers, and LLM enthusiasts. Before learning this project, it is recommended to have some programming experience, especially familiarity with the Python programming language. It's best to have knowledge of deep learning and understand concepts and terminology in the NLP field to learn this project more easily.
@@ -102,11 +120,17 @@ We welcome any form of contribution!
 
 <div align='center'>
     <img src="./images/datawhale.png" alt="Datawhale" width="30%">
-    <p>Scan the QR code to follow Datawhale WeChat Official Account for more quality open-source content</p>
+    <p>Scan the QR code to follow Datawhale WeChat Official Account for more quality open source content</p>
 </div>
 
 ---
 
 ## 📜 Open Source License
 
+This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).
+
+---
+
+## 📜 Open Source License
+
 This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).