ENTITY Leech-lattice quantization

Leech-lattice quantization

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TOOL · CL_269481 · Sep 28 · 15:51

Tetra LLM quantization achieves 2.7 bits/parameter, boosting inference speed

Researchers have developed Tetra, a novel method for quantizing Large Language Models (LLMs) to an average of 2.7 bits per parameter, significantly reducing memory requirements. This technique, building on leech-lattice…

Tetra LLM quantization achieves 2.7 bits/parameter, boosting inference speed