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Breaking the 1.58-bit Barrier for Ternary LLMs

245 points · 41 comments · matt_d

  1. infogulch · · focus · HN ↗
    So they get down from 1.58 to 1.48 bits per weight by exploiting the fact that actual weights in practice are 0 51% of the time. Neat.

    If ternary llms work out and are baked into hardware as custom silicon I bet they'll be shockingly efficient.

    1. kadushka · · focus · HN ↗
      By “work out” you mean no accuracy degradation? That’s a big ask - currently we can barely quantize to dynamic fp4 with small block size - still not completely lossless on all benchmarks.
      1. [deleted] · · focus · HN ↗

        [deleted]

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