Insane scores for a model of this size. But it does seem to be a rather insane over-thinker with the biggest token use of any model, which combined with 256k context size it means it wont do much before filling it context
Its a per client request setting also.
Using qwen 3.8 27b, in open code, its unnoticeable.
So more a issue for server/harness design than model.
Also, there might be a real bug in the models parameters, like this for 3.8-27b: https://huggingface.co/grimoni/Qwen3.8-27B-SSMFIX-UD-Q4_K_XL...
I see strings like “write, now.” In the thinning traces then it goes on to think for a lot longer, so it’s kind of weird.
I haven’t figured out hope to use this effectively yet on my strix halo.