How to measure the impact of dynamic quantization in QLoRA on large datasets

Question

Can i know How to measure the impact of dynamic quantization in QLoRA on large datasets?

Answer 1

You can measure the impact of dynamic quantization in QLoRA on large datasets by comparing evaluation metrics and memory usage before and after quantization using a consistent validation pipeline.

Here is the code snippet you can refer to:

In the above code we are using the following key strategies:

• Evaluates both full-precision and quantized models on the same dataset.

• Measures and compares validation loss, inference time, and memory usage.

• Uses psutil to track real RAM impact for accurate memory profiling.

Hence, dynamic quantization impact in QLoRA can be effectively assessed by analyzing trade-offs in accuracy, memory efficiency, and inference speed across large datasets.