Quantized Transformers in Practice: Benchmarking Full- and Low-Precision LLMs across Two Processors
Abstract
Quantization has emerged as an important technique for enabling efficient deployment of large language models (LLMs) by reducing their memory and computational requirements. This research conducts an evaluation of INT8 quanti... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Advanced Neural Network Applications
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Publication details
- Journal / source
- Computers, materials & continua/Computers, materials & continua (Print)
- Publisher
- Tech Science Press
- Volume
- 87
- Issue
- 3
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN