Sub-1-Bit LLM Compression via Latent Factorization

(github.com)

51 points | by brainless 3 hours ago

6 comments

  • bArray 7 minutes ago
    Has anybody tested this? Are there any available computed models to test?
  • augment_me 24 minutes ago
    Perf goes from 80% to 47% on Wikitext-2. Also no comparisons to FP4 solutions that are able to maintain or exceed perf on the same dataset 80% perf with a 4.25-4.5 big budget.

    I think more meaningful thing here would be a hybrid solution that went down to sub-bit representations when the informational representation does not need it (for example later layers) that still maintains task performance

  • big-chungus4 48 minutes ago
    Can this produce a useful model? So far 1 bit quants have been less useful than smaller models that use the same memory
  • nbutton762 30 minutes ago
    Thought this was going to be on the original Little Bit paper, always nice to find out about a surprise sequel!
  • badatnames 52 minutes ago
    Their paper shows this comes with huge quality loss, but that doesn't make it a negative result by any means
  • nico 50 minutes ago
    Has anyone tried this on apple silicon M1-5? Any benchmarks/comps?