Edge 337: Understanding QLoRA

How a simple and effective optimization on LoRA resulted in an incredibly efficient fine-tuning method.

Created Using DALL-E 3

In this Issue:

1. An overview of QLoRA, a fine tuning method for quantized models.

2. A review of the original QLoRA paper.

3. A walkthrough Azure OpenAI Service fine-tuning toolset.

💡 ML Concept of the Day: Understanding QLoRA

In the previous issue of this series about fine-tuning, we discussed Low Rank Adapters(LoRA) that has become one of the most popular fine-tuning methods with foundation models. Today, we will explore a variation known as QLoRA(quantized LoRA) that introduces additional optimization over the baseline method.

Conceptually, QLoRA's technique involves two key steps.