Breaking the 1.58-bit barrier for ternary LLMs
Read the original at arxiv.org→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...
Original headline: "Breaking the 1.58-bit Barrier for Ternary LLMs"
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- Sep 16, 04:00 UTC arXiv cs.AI lead source Breaking the 1.58-bit Barrier for Ternary LLMs