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I think (maybe I missed something) that identical size and quant versions of Qwen 3.5 and 3.8 should run at the same speed. It’s the exact same architecture.

Tried the 4 Bit versions. It loads, bit the <thinking> output isn't even coming out.

There is no way you would run a dense 27b model on that spec. I ran 3.6 27b on a 64gb ram, 24 gb vram, and it felt like the lower limit for this model with a decent context window.

If you want a better experience, maybe wait for either a moe model (like 3.6 35b A3) or a model with less parameters (like 9b). Qwen has been releasing those in the past, so maybe we’ll have them for 3.8 too.

From my experience if it doesn't fit on vram it is rarely worth to bother except for a few narrow tasks.

For example make an essay about something where you don't actively engage with the LLM after the initial prompt. So mostly one-shot prompts.

The issue was caused by Ollama. I've tried again with llama.cpp and mounting the igpu device correctly, I get 18-23 tk/s on the Iris Xe card under Debian, MUCH better than before.

were you running the MoE models? those perform better speed wise