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LocalLLaMA
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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
Oh god no. Bonsai is such a waste of time! Totally a dull version of Qwen. Keeps getting basic things wrong and isn’t agentic at all.
But I’d be curious to hear if you’ve used it and had a different experience.
I personally run Qwen 3.8 27B at Q4_K_XL, but given OP's system requirements, I'd try Bonsai instead of a regular Q2 quant or the older Qwen 3.5 9B.
M2 16 GB… ah… let’s see how Bonsai works for OP…
Cries in old 1070 architecture
I had already downloaded a Bonsai 27B, just not really tested it yet
You can also try https://huggingface.co/ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF
It's more demanding, but also much capable.
I ran this for a good while, quite usable, like gipity 4o or 4.5