I felt sorry for it and stopped it, 14min and the poor thing was just going around in circles.
I'm just looking at running some local llm on my m2 16GB mac and this was with the default settings for the qwen3.5 9b in LM Studio. Any pointers to get the best out of a M2?
If I recall properly, in system prompt you can set thinking level via keywords(quick google should do). And there are three levels "Xhigh, medium, low", Qwen defaults to Xhigh. So set it to something lower and maybe it will stop over thinking.
I like "I will assume 'Arcane' is a typo for 'docker'". I don't have any suggestions for you, but damn that poor LLM was so confused.
What is arcane? I also don't know
Try Ternary Bonsai. It's a heavily quantized version of Qwen 3.8 27b. It won't do wonders, but it shoud be better: https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf-dev The page says you need a fork of llama.cpp, but the support was included in the latest release (0.7). You can read more about the mode on the main model page: https://huggingface.co/prism-ml/Ternary-Bonsai-27B-gguf
What quant are you running? You might get better mileage from a gemma4 model of similar size and quants.
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