ENTITY SqueezeLLM

SqueezeLLM

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TOOL · CL_209151 · Aug 19 · 10:38

ETH Zurich pushes LLMs to 1-bit quantization for small devices

Researchers from ETH Zurich have developed innovative techniques to drastically reduce the size of large language models (LLMs) for deployment on resource-constrained devices. Their work, presented at IJCAI 2026, focuse…