Basically the title.

For me, a dense model around 20b, with an additional engram table of 10-20b, or a sparse MoE around 80b would be amazing.

  • ikt@aussie.zone
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    8 days ago

    gemma 26b-a4b was fantastic, anything in that area is ideal

    running my tiny rx6600 8gb vram

    • hoshikarakitaridia@lemmy.world
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      8 days ago

      Oh hell yeah

      I’m on my 1070 8gb copium so we’re twinsies

      Maybe they release a huge moe model with non-uniform quants and then we can get even more quality on those cute little cards

    • comrade | 🇵🇸@lemmy.ml
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      8 days ago

      I have an M4 Pro 24GB and I still use Gemma 26B-A4B as my primary model. Beats every other model I’ve ever tried locally on most stuff except coding and tool use, so a Qwen 4 at this size would be super interesting

    • tpWinthropeIII@lemmy.world
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      8 days ago

      Agree, and upvoted.

      Another good size would be 160 gb for 96 gb vram systems. After that I would like to see 225 to 250 gb.

  • ffhein@lemmy.world
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    8 days ago

    27B dense was a good size for 3.8, but I’m guessing they’re going to add a few B parameters in order to make it noticeably better.

    • robber@lemmy.mlOP
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      8 days ago

      Not necessarly, I’d say. We’ve seen many releases with multiple sizes and the 27B class has been around since at least the Gemma3 times.

      • ffhein@lemmy.world
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        8 days ago

        Well, it’s just a guess. But also Gemma4 increased to 31B, so I think there’s a possibility that Qwen does the same.

    • BeefAndPoultry@lemmus.org
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      8 days ago

      If they can make the KV cache size scale more efficiently with many tokens, like DeepSeek 4.1 Flash fitting 1 million tokens in 890MB, it might give them enough room to add a couple billion parameters of weights and still fit well in 32GB GPUs

  • ZephyrXero@lemmy.world
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    7 days ago

    They’ve changed the license with Qwen 4, starting with 3.8-next. So I probably won’t be using any further releases

    • fluxx@lemmy.world
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      6 days ago

      What are the significant changes? Requiring attribution or something more sinister?