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Learn the right VRAM for coding models, why an RTX 5090 is optional, and how to cut context cost with K-cache quantization.

Ufotable digs into the technical and artistic magic that propelled the film's generational battle between Tanjiro and Akaza.

Learn how to run local AI models with LM Studio's user, power user, and developer modes, keeping data private and saving monthly fees.

With more than three years of experience as a personal finance writer, Jamela Adam simplifies complex money topics to help readers become experts at managing their finances. Her work has been featured ...

Clint Proctor is a lead editor with the credit cards and travel rewards team at Forbes Advisor. He has five years of experience in personal finance journalism and has contributed to a variety of ...

Abstract: Automatic quantization generates efficient hybrid precision quantization schemes without manual effort, offering a promising approach for developing hardware-friendly MIMO detectors. However ...

Abstract: The huge memory and computing costs of deep neural networks (DNNs) greatly hinder their deployment on resource-constrained devices with high efficiency. Quantization has emerged as an ...

SD.Next Quantization provides full cross-platform quantization to reduce memory usage and increase performance for any device. Triton enables the use of optimized kernels for much better performance.

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This repository contains the official PyTorch implementation for the CVPR 2025 paper "APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision ...