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AWQ

Activation-aware Weight Quantization preserving salient weights

Formats

In plain English

Protecting the 1% most important neuron channels in full quality while compressing the remaining 99%.

Technically

Activation-aware Weight Quantization (Lin et al., 2023). Observes activation distributions on calibration data to identify the top ~1% salient channels and scales them before uniform INT4 quantization, outperforming pure round-to-nearest methods.

Related terms

GPTQQuantization

Lessons that use it

More in Formats

BitNet b1.58 (1-bit LLMs)GGUFGPTQNVFP4 (Blackwell FP4)Quantization