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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. snehesht · · focus · HN ↗
    I tried it and it worked surprisingly well. On my machine (Nvidia 4090, 128GB DDR5, Ryzen 7950x3d) I'm getting 124 tokens per sec, thought to share it here.

    <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;Qwen&#x2F;Qwen3.8-Flash-Next" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;Qwen&#x2F;Qwen3.8-Flash-Next

    1. proc0 · · focus · HN ↗
      Do you know how it compares to Qwen 3.8 27B? I really want to compare the distilled ones with harness versus the full MoE versions.
      1. incognito124 · · focus · HN ↗
        Qwen 3.8 flash next is way better than 27B. It&#x27;s so good I dont even use claude anymore
        1. mickeyp · · focus · HN ↗
          I have not tried Flash Next yet; but 27B is a cracking, little model. It is the first small model that I, as someone with 30 years of experience, can finally say is good enough to hand off small and mid-sized tasks and expect a pretty good result.

          It is also a competent tool caller when quantised to NVFP4 for use with ninfer; my own harness only reports the occasional hiccup and it is only because the model will sometimes emit tool calling tokens in its reasoning loop.

          1. snehesht · · focus · HN ↗
            This is interesting, thanks. - <a href="https:&#x2F;&#x2F;github.com&#x2F;Neroued&#x2F;ninfer" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Neroued&#x2F;ninfer
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