Post Training Quantization On Diffusion

Post-Training Quantization on Diffusion Models (CVPR 2023)

In this video I will introduce and explain

... an integer value that's where the second leg of

DMQ: Dissecting Outliers of

Although

Introduction about Towards Accurate Post-Training Quantization for Vision Transformer (ACM MM 2022)

The first comprehensive explainer for the GGUF

Learn the basics of dynamic

Shrink your models and speed up inference — all without retraining! This video'll explore step-by-step

We propose Seaweed-APT, an adversarial

Sampling-Aware

Title: On the

This talk was given at a compression study group as below: https://github.com/sjquan/2022-Study/issues/4.

Generative Pre-

SmoothQuant - Accurate and Efficient Post-Training Quantization for Large Language Models

On this AI Research Roundup, host Alex dives into a fascinating paper tackling model efficiency: SVDQuant: Absorbing Outliers by ...

At such an aggressive level, both weights and activations are highly sensitive, where conventional

Hi we are group 11 and we are going to present our project which is on

Recipes for