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

The first comprehensive explainer for the GGUF

Although

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

Learn the basics of dynamic

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

Title: On the

Sampling-Aware

Generative Pre-

We propose Seaweed-APT, an adversarial

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

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

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

Recipes for

Learn the basics of

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