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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)

submitted 9 months ago by [email protected] to c/[email protected]

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[–] [email protected] 14 points 9 months ago (1 children)

Why use lot bit when one bit do trick?

[–] [email protected] 3 points 9 months ago

Bits together weak

[–] QBertReynolds 4 points 9 months ago (1 children)

Says 1-bit then goes on to describe inputs as -1, 0, or 1. That's 2-bit. Am I missing something here?

[–] [email protected] 2 points 9 months ago

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.