1-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)
from yogthos@lemmy.ml to technology@lemmy.ml on 28 Feb 2024 13:52
https://lemmy.ml/post/12526144
from yogthos@lemmy.ml to technology@lemmy.ml on 28 Feb 2024 13:52
https://lemmy.ml/post/12526144
#technology
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Why use lot bit when one bit do trick?
Bits together weak
Says 1-bit then goes on to describe inputs as -1, 0, or 1. That’s 2-bit. Am I missing something here?
It’s actually 1.58bits weirdly. The addition of 0 here was the significant change/improvement in this experiment. The paper isn’t too dense and has some decent tables that explain things fairly accessibly.