Double Quantization
Double Quantization is a memory-saving process introduced in QLoRA that quantizes the quantization constants themselves, reducing the memory footprint of fine-tuning runs with zero accuracy loss.
Frequently Asked Questions
How does double quantization save memory?▼
It compresses the block-level quantization scale factors from 32-bit floats to 8-bit floats, saving around 0.37 bits per parameter on average.
Which PEFT method uses double quantization?▼
QLoRA, which utilizes this method to fine-tune 70B parameter models on a single 48GB GPU.
Quick Facts
- CategoryModel Operations
- Key ApplicationParameter-efficient fine-tuning, VRAM budget optimization, and local model updates.
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