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News/Breaking the 1.58-bit Barrier for Ternary LLMs
arxiv
PublishedSeptember 16, 2026 at 4:00 AM
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Breaking the 1.58-bit Barrier for Ternary LLMs

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arXiv:2609.16338v1 Announce Type: new Abstract: Ternary Large Language Models (LLM) store every weight as one of three symbols $\{-1,0,+1\}$, so the cost of a ternary model is conventionally referenced to the information-theoretic $\log_2 3 \approx 1.585$ bits per weight. The prevailing deployment f

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