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News/TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
arxiv
PublishedJune 15, 2026 at 4:00 AM

TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization

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Publisher summary· verbatim

arXiv:2606.13054v2 Announce Type: replace-cross Abstract: Large language models (LLMs) exhibit exceptional general language processing capabilities, but their memory and compute costs hinder deployment. Ternarization has emerged as a promising compression technique, offering significant reductions i

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