QUASAR

Researchers introduced QUASAR, a method that lowers the loss floor gap in quantization-aware training (QAT) for large language models by adding a saliency-weighted reconstruction step. The approach re…

Researchers introduced QUASAR, a quantization-aware training method that performs lightweight, loss-aware reconstruction in the training loop to lower the loss floor of low-bit large language models. …