11 pointsby bundiean hour ago5 comments
  • nateb2022an hour ago
    Curious why they're using 3.6-27B and not 3.8-27B which is competitive with Opus 4.6 (https://huggingface.co/Qwen/Qwen3.8-27B)
    • bundiean hour ago
      From the article:

      The company also said that it chose Qwen3.6 over the newer Qwen3.8 (released earlier this month) because the latter runs slower on "today's Macs" since it needs reasoning enabled.

      • iAMkenough22 minutes ago
        I haven’t found that to be true with LM Studio and Qwen3.8. Works fine without reasoning.

        They’re also targeting 64GB M5 Pro and up as “today’s Macs” which perform fine with reasoning enabled.

  • danw1979an hour ago
    How is this easier than using lmstudio or omlx or whatever your favourite runtime is ?

    It’s maybe a bit interesting that Jetbrains are making moves to integrate with local models more closely, but I think claiming this is “easier” is incorrect for most users.

  • bellowsgulch22 minutes ago
    It seems to me that Qwen3.6-35B-A3B is still the local LLM leader, because 27B in either of the latest releases is just too slow to be usable compared to OpenCode Zen free models, or OpenRouter free models.

    Sad a Qwen3.8-35B-A3B model wasn't released.

    Also, I think this is just an ad.

  • coder-pman hour ago
    Anything good to run on Mac M5 Max with 48GB? is this even worth trying? so far I found the responses so slow compared to the paid subscriptions...
    • seanmcdirmid19 minutes ago
      I get up to 90 tokens / second with Jundot/Qwen3.6-35B-A3B-oQ6-mtp, on a M3 Max with 64GB. MoE so it is not a dense model, but that means it runs faster (also, mtp helps). It is a 30GB model, but you should be able to load it, otherwise try the 4-bit quant instead of the 6-bit quant, don't bother quanting your KV Cache (don't enable turboquant in oMLX), since that will slow you down.
  • bellowsgulchan hour ago
    Uh...

        brew install llama.cpp
        llama serve -hf unsloth/Qwen3.6-35B-A3B-GGUF:UD-Q4_K_M
        open http://127.0.0.1:8080
    • tiahura16 minutes ago
      claude> dl & config best vers of Qwen 3.8 for my system