☆ Yσɠƚԋσʂ ☆@lemmy.ml to Technology@lemmy.mlEnglish · 7 months ago1-bit LLM performs similarly to full-precision Transformer LLMs with the same model size and training tokens but is much more efficient in terms of latency, memory, throughput, and energy consumption.arxiv.orgexternal-linkmessage-square4fedilinkarrow-up122arrow-down17 cross-posted to: luckystarr@feddit.dehackernews@lemmy.smeargle.fanssingularity@lemmit.online
arrow-up115arrow-down1external-link1-bit LLM performs similarly to full-precision Transformer LLMs with the same model size and training tokens but is much more efficient in terms of latency, memory, throughput, and energy consumption.arxiv.org☆ Yσɠƚԋσʂ ☆@lemmy.ml to Technology@lemmy.mlEnglish · 7 months agomessage-square4fedilink cross-posted to: luckystarr@feddit.dehackernews@lemmy.smeargle.fanssingularity@lemmit.online
minus-squarekevlar21@lemm.eelinkfedilinkarrow-up14·7 months agoWhy use lot bit when one bit do trick?
Why use lot bit when one bit do trick?
Bits together weak