Update README.md

README.md

@@ -17,6 +17,31 @@ datasets:
 - nohurry/Opus-4.6-Reasoning-3000x-filtered
 - Jackrong/Qwen3.5-reasoning-700x
 - Roman1111111/claude-opus-4.6-10000x
+---
+# 🌟 Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2
+
+🔥 **Update (April 5): To help beginners and enthusiasts better understand and reproduce the fine-tuning process of this model, I have prepared the complete training notebook, codebase, and a comprehensive companion PDF guide! Please check the resource links below.**
+
+> ❤️ Special thanks to the Unsloth open-source library and @KyleHessling1 for their support.
+
+## 📚 Resources & Guides
+
+If you want to dive into how this model was trained, or wish to reproduce the results locally or on Colab, please visit my GitHub repository:
+👉 **[Jackrong-llm-finetuning-guide](https://github.com/R6410418/Jackrong-llm-finetuning-guide.git)**
+
+### 📥 Core Technical Document Direct Download
+You can click the link below to directly access the complete technical manual for the Qwopus3.5 training:
+
+* **[Qwopus3-5-27b-Colab_complete_guide_to_llm_finetuning.pdf](https://github.com/R6410418/Jackrong-llm-finetuning-guide/blob/8eb33234856054d23675064177de1ac10b54a609/guidePDF/Qwopus3-5-27b-Colab_complete_guide_to_llm_finetuning.pdf)**
+  * Covers the entire workflow, starting with an introduction to Google Colab and Unsloth.
+  * Details the complete pipeline with step-by-step explanations—from downloading the base model and normalizing heterogeneous data sources into a unified format, to configuring trainer hyperparameters and finally publishing to Hugging Face.
+  * Feedback is highly welcome! If you spot any shortcomings or areas for improvement, please let me know, and I will update it promptly.
+
+> **A Note:**
+> My goal in writing this guide goes beyond merely detailing a single training workflow. I want to convey a broader message: fine-tuning, post-training, and even medium-scale pre-training are not unattainable technical rituals, nor are they the exaggerated hype often packaged by social media. More often than not, all you need is a Google account, a standard laptop, and relentless curiosity. 
+> 
+> *No one starts as an expert. But every expert was once brave enough to begin.*
+
 ---
 
 # 🌟 Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2