Join the discussion

Write your take first — we'll ask for email only when you're ready to publish.

  • Hacker News
  • 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...
  • Why are they tying the client with the AI model instead of using OpenAI or another popular http format? Running llama.cpp locally is about the right level of complexity for most doing local AI.
  • 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
  • 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)
  • 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.

  • 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.

Explore Birbla archives