Abstract: We study an extension of fuzzy learning vector quantization that draws on ideas from the more sophisticated approaches to fuzzy clustering, enabling us to find fuzzy clusters of ellipsoidal ...
Quantization aims to map a high-precision value x_f to a lower precision format with minimal loss in accuracy. These smaller formats then serve to reduce the models memory footprint and increase ...
We follow the environment settings of PTQ4SAM, please refer to the environment.sh in the root directory. For example, to perform W4A4 quantization for SAM-B with a ...
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