It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

Abstract: Quantization is one of the efficient model compression methods, which represents the network with fixed-point or low-bit numbers. Existing quantization methods address the network ...

Abstract: We construct a randomized vector quantizer which has a smaller maximum error compared to all known lattice quantizers with the same entropy for dimensions 5 ...

ENOB describes an analog-to-digital converter’s performance with respect to total noise and distortion. In the earlier parts of this series on analog-to-digital converters (ADCs), we looked at the ...

Specifications such as gain error, offset error, and differential nonlinearity help define an analog-to-digital converter’s performance. In part 1 of this series, we discussed an ideal ...

This is the basic Blue Screen of Death we've had since Windows 8, with Microsoft adding a QR code to the screen in Windows 10. Jacob Roach / Digital Trends If you've encountered a blue screen of death ...

Large Language Models (LLMs) evaluate and interpret links between words or tokens in a sequence primarily through the self-attention mechanism. However, this module’s time and memory complexity rises ...

Text-to-image diffusion models have made significant strides in generating complex and faithful images from input conditions. Among these, Diffusion Transformers Models (DiTs) have emerged as ...

When I tried to quantize using the following command, I got the following error. Do you know the cause? py convert-hf-to-gguf.py --outtype f16 F:/models/Llama-3 ...