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Kev: Tiny Jev-like family of decision models built on top of Qwen3.5

462 points · 211 comments · tosh

  1. mugul · · focus · HN ↗
    Quite impressed by the energy people are putting into making OSS Jev-like models.

    I understand the hype but I wonder: what are the use cases for this kind of model? Could it be used in the context of coding agents, or is it more relevant in totally different situations?

    1. hbrn · · focus · HN ↗
      The big problem is that Jev is only useful when you both:

      - need fast response

      - can tolerate Jev's mediocrity compared to real frontier models

      (I explicitly ignore cost, because if you desperately need a cost-optimized classifier you would just build one)

      Outside of fun demos these two rarely come together: if it's critical enough to require sub second speed, then it can't be mediocre.

      The reason so many OSS models are being built is that Typesafe team made a ton bombastic claims about Jev being a huge breakthrough, and ML folks are realizing they can build Jev-like model in 2 days instead of 2 years.

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