Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled GGUF

--- language: - en - zh license: apache-2.0 base_model: Qwen/Qwen3.5-9B tags: - unsloth - qwen - qwen3.5 - reasoning - chain-of-thought - lora pipeline_tag: image-text-to-image datasets: - Jackrong/Qwen3.5-reasoning-700x - nohurry/Opus-4.6-Reasoning-3000x-filtered --- # 🌟 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**](https://unsloth.ai) open-source library and [@KyleHessling1](https://x.com/kylehessling1) for their support. ## 📚 Resources & Guides 👉 **[GitHub Repository: Jackrong-llm-finetuning-guide](https://github.com/R6410418/Jackrong-llm-finetuning-guide.git)** 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)](https://github.com/R6410418/Jackrong-llm-finetuning-guide/blob/main/guidePDF/Qwopus3-5-27b-Colab_complete_guide_to_llm_finetuning.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 curiosity. > > *No one starts as an expert, but every expert was once brave enough to begin.* > > All training and testing for this project were self-funded. If you find this model or guide helpful, a **Star ⭐️ on GitHub** would be the greatest encouragement. Thank you! 🙏 > [!Note] > The Claude series model optimizations are named under the **Qwopus3.5 series**, with the latest version being **🌟Qwopus3.5-v3**. ## 📢 Announcement > **Update:** > This model has been **further enhanced with additional reasoning data distilled from Qwen3.5-27B**. > > The new training data introduces higher-quality reasoning traj...