This looks promising, I'll be sure to give it a try! Is it better compared to Qwen3.6 in terms of getting stuck? So far, qwen is borderline unusable for me, for chatting/research, as it frequently gets stuck. Gemma4 is a lot more stable, but a lot worse, in my opinion so far. North mini looks promising if it can solve looping for me and be a bit smarter than Gemma.
LocalLLaMA
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Interesting. Looks like I'd need to build a special llama.cpp to get it to run on my system currently, and I think I could get lost for a long time if I start digging up that rabbit hole... so maybe not today, but I'll keep an eye out and give it a try if support lands in main.
Is it doing any better than Qwen at avoiding getting stuck in thinking loops?
This Dockerfile worked for me to build the llama-cpp-turboquant fork: https://huggingface.co/spaces/ai-engineering-at/llama-cpp-turboquant-guide/blob/main/Dockerfile. Should work for upstream too. The Dockerfile I made myself crashed 2 different machines, but then I found this one and can confirm it works well.
I've got an AMD system so that probably won't work for me, but glad it's working for you and maybe it will help others!
How does the model compare to Qwen and Gemma4 so far?
Ah, ok, hope it helps someone. I’ll probably try the model this week sometime.