IST Austria
Institute of Science and Technology Austria
Overview
A public research university located in Klosterneuburg, Austria, focused on fundamental research in natural sciences, mathematics, and computer science.
Key Research Areas
- Distributed Algorithms and Systems
- Machine Learning and Quantization
- Computational Neuroscience
- Theoretical Computer Science
Notable Contributions
- Development of advanced quantization techniques for Large Language Models (LLMs), including Gumbel Softmax Quantization (GSQ) and Riemannian Constrained Optimization (RCO).
- Research into efficient local deployment of high-parameter models with minimal accuracy loss.
Recent Activity
- 2026-09-08: Published insights on Qwen3.8-27B Quantization: GSQ+RCO for Local, Accurate LLM Deployment, demonstrating 27B parameter model deployment in 11.8GB with zero accuracy loss locally.