🌟 Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled 🔥 Update (April 5): I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine tuning process. ❤️ Special thanks to the Unsloth open source library and @KyleHessling1 for their support. 📚 Resources & Guides 👉 GitHub Repository: Jackrong llm finetuning guide Visit the repo to dive into the codebase and reproduce the results locally or on Colab. 📥 Core Technical Document 🔗 Qwopus3.5 27b Complete Fine Tuning Guide (PDF) The Full Pipeline: A step by step walkthrough—from downloading the base model and unifying heterogeneous data, to configuring trainer hyperparameters and publishing to Hugging Face. Beginner Friendly: Includes an introductory guide to getting started with Google Colab and Unsloth. Feedback welcome! If you spot any areas for improvement, please let me know and I will update it promptly. A Note: My goal isn't just to detail a workflow, but to demystify LLM training. Beyond the social media hype, fine tuning isn't an unattainable ritual—often, all you need is a Google account, a standard laptop, and relentless curio…
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