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Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s

741 points · 330 comments · snehesht

  1. 0xbadcafebee · · focus · HN ↗
    Lol, sure, if you quant it to hell (Q2) it'll go real fast...

    They even link to a Q1 quant (Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF) with half the experts ripped out. The idea is it'll go much faster and supposedly benches to not-terrible results. But the problem is you can't rely on it for real world long-horizon coding because that's where reasoning comes in, which is why you want the other layers.

    It turns out there's still no free lunch. Either get enough VRAM for a Q4, or use a much smaller model. Lobotomizing a larger model just to say you can run it fast isn't useful.

    1. sigbottle · · focus · HN ↗
      It's interesting though that Q4 seems to be enough, is there a reason that 4 bit floats are good enough for inference?
      1. nottorp · · focus · HN ↗
        Is Qwen 3.8 at Q4 good enough?

        I tried to run 3.5 27b Q4 on what local hardware i had (only 8 Gb) and i was very disappointed. 3.8 wouldn't have fit in my VRAM and i wasn't in the mood to leave it overnight at slow speeds so I didn't try.

        1. Zambyte · · focus · HN ↗
          3.8 is a huge step up from 3.5, quantized or not. I do all of my programming on Qwen 3.8 27B Q4 these days.
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