Write code to quantize activations in a Transformer architecture using QLoRA

Question

Can you Write code to quantize activations in a Transformer architecture using QLoRA.

Answer 1

You can quantize activations in a Transformer using QLoRA by enabling bnb_4bit_use_double_quant and setting quantization parameters during model loading.

Here is the code snippet you can refer to:

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

• Enables double quantization for activation compression.

• Uses NF4 (normal float 4-bit) for better activation representation.

• Specifies target modules for fine-grained QLoRA insertion.

• Compatible with Hugging Face + bitsandbytes quantization backend.

Hence, activation quantization in QLoRA is achieved by configuring quantization-aware loading parameters that efficiently compress intermediate representations in Transformers.