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News/TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
arxiv
PublishedJune 12, 2026 at 4:00 AM

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

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arXiv:2606.13054v1 Announce Type: 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 in model

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