Nov. 15, 2023, 9:50 p.m. | Justin Goheen

Lightning AI

Introduction The aim of 8-bit quantization is to reduce the memory usage of the model parameters by using lower precision types than full (float32) or half (bfloat16) precision. Meaning – 8-bit quantization compresses models that have billions of parameters like Llama 2 or SDXL and makes them require less memory. Thankfully, Lightning Fabric makes quantization... Read more »

The post 8-bit Quantization with Lightning Fabric appeared first on Lightning AI.

aim bfloat16 blog fabric introduction lightning lightning fabric llama llama 2 meaning memory parameters precision quantization reduce sdxl them tutorials types usage

Data Engineer

@ Cepal Hellas Financial Services S.A. | Athens, Sterea Ellada, Greece

Senior Manager Data Engineering

@ Publicis Groupe | Bengaluru, India

Senior Data Modeler

@ Sanofi | Hyderabad

VP, Product Management - Data, AI & ML

@ Datasite | USA - MN - Minneapolis

Supervisão de Business Intelligence (BI)

@ Publicis Groupe | São Paulo, Brazil

Data Manager Advertising (f|m|d) (80-100%) - Zurich - Hybrid Work

@ SMG Swiss Marketplace Group | Zürich, Switzerland