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Explore the process of fast and lightweight model fine-tuning using QLoRA (quantized low rank adapters) in this informative video tutorial. Learn about the benefits of QLoRA, delve into relevant research, and understand how to prepare a custom dataset for fine-tuning. Follow along as the instructor demonstrates the QLoRA training process, explains QLoRA adapters, and covers merging, dequantizing, and sharing techniques. Gain insights from examples of a WSB QLoRA fine-tuned model and access a wealth of resources, including code repositories, research papers, and additional learning materials to further your understanding of this powerful fine-tuning technique.
Syllabus
- Why QLoRA?
- LoRA/QLoRA Research
- Fine-tuning dataset
- QLoRA Training Process
- QLoRA Adapters
- Merging, Dequantizing, and Sharing
- WSB QLoRA fine-tuned model examples
Taught by
sentdex