NormalFloat4
NormalFloat4 (NF4) is an information-theoretically optimal quantile quantization data type for normally distributed data, designed to compress neural network weights to 4-bit precision without losing accuracy.
Frequently Asked Questions
Why is NF4 better than standard FP4?▼
Since neural network weights naturally follow a normal distribution, NF4 aligns the quantization bins with the distribution probability, minimizing quantization error.
Which tool popularized NF4?▼
The bitsandbytes library, widely used in Hugging Face PEFT integrations for QLoRA.
Quick Facts
- CategoryModel Operations
- Key ApplicationQLoRA fine-tuning, weight quantization compression, and low-compute training.
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