How does quantization noise affect model performance in QLoRA-tuned models

Question

Can you explian How does quantization noise affect model performance in QLoRA-tuned models?

Answer 1

You can analyze how quantization noise affects QLoRA-tuned model performance by measuring output divergence and loss shifts between full-precision and quantized models on the same inputs.

Here is the code snippet you can refer to:

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

• Uses cosine similarity between logits to quantify quantization noise.

• Evaluates across a sample validation set for realistic estimation.

• Compares full-precision vs quantized model behavior under same inputs.

Hence, quantization noise in QLoRA affects performance by slightly altering prediction distributions, measurable via similarity metrics between original and quantized outputs.