# qat-suite Projects at AI Tinkerers

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> Technology record last updated: 2026-07-07T13:55:14Z
> Generated: 2026-09-21T14:42:46Z

A lightweight quantization suite built to optimize large language models for resource-constrained edge environments.

Developed by SwissAI, qat-suite is an open-source quantization toolkit designed to compress large language models (LLMs) for efficient deployment on hardware-limited devices. It provides native support for popular inference formats like vLLM and Apple MLX, utilizing advanced quantization-aware distillation (QAD) algorithms to generate ultra-low-bit formats (including INT2, INT3, INT4, and INT6). By maintaining high model accuracy while drastically reducing memory footprints, the suite serves as a critical bridge for running complex multilingual models on mobile and edge platforms.

- Official technology site: https://github.com/swiss-ai/qat-suite
- Public AI Tinkerers demos and talks: 0
- Result page: 1 of 1

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