Create a function for custom parameter initialization in QLoRA fine-tuning

Question

Can i know Create a function for custom parameter initialization in QLoRA fine-tuning.

Answer 1

You can create a custom parameter initialization function in QLoRA by iterating over LoRA layers and applying tailored weight initializers like Xavier or Kaiming.

Here is the code snippet you can refer to:

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

• Targets only LoRA-specific layers for custom initialization.

• Supports multiple init strategies like Xavier and Kaiming.

• Enhances training stability and convergence in QLoRA.

Hence, custom initialization in QLoRA fine-tuning ensures better control over LoRA parameter distributions, leading to more stable and efficient training.