In this video, I show you step-by-step how to fine-tune the DeepSeek-R1-Distill-Qwen-1.5B model using supervised fine-tuning (SFT) on a custom dataset—all within Google Colab on a GPU! I walk through the entire process, from setting up the environment and preparing your dataset to running the fine-tuning commands.
What you'll learn in this tutorial:
✅ How to use a Google Colab environment optimized for GPU usage
✅ Preparing and loading your custom dataset for supervised fine-tuning
✅ Running the fine-tuning process on the DeepSeek-R1-Distill-Qwen-1.5B model
✅ Troubleshooting common issues and optimizing performance
Whether you're new to model fine-tuning or looking to refine your skills with advanced models, this video is designed to help you master the process with clear, hands-on instructions.
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Happy fine-tuning! 🚀
Notebook: https://github.com/AIAnytime/Fine-Tune-DeepSeek
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