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: A process that quantizes the quantization constants themselves to save additional memory.

: An information-theoretically optimal data type for normally distributed weights. It uses 16 quantization levels based on the quantiles of a standard normal distribution. NF4.rar

: A feature to handle memory spikes during training by offloading to CPU RAM. 🔬 Key Technical Details : A process that quantizes the quantization constants

: To reduce the memory footprint of LLMs (like Llama) enough to fit on a single GPU (e.g., a 24GB RTX 3090) while maintaining full 16-bit performance. NF4.rar