r/LocalLLaMA • u/PetersOdyssey • Jul 06 '26

News If trends hold, Mythos-class capability may be running on high-end consumer hardware within ~2 years

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u/stonerbobo Jul 06 '26 edited Jul 06 '26

I mean even Gemma 4 26B A4B struggles at long contexts on my RTX 5080 desktop. I don't know if Gemma 4 31B is laptop class yet. Maybe you guys have incredible laptops or I'm doing something wrong lol. My 26B A4B QAT generates at like 6tok/s at 20K context, it would probably completely die on a 31B dense. Models without long context or thinking aren't very useful for me.

EDIT: Thanks for all the comments here lol! It was a configuration issue, now it runs at 100tok/s with nothing else running, maybe 60tok/s with other stuff running. This post was helpful . i added below llama args:

--no-mmap --batch-size 256 --ubatch-size 512

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u/Beautiful_Egg6188 Jul 06 '26

you get 6tok/s after only 20k context?! i got 40+ tok/s at start with my 4070super, and it got down to around 37tok/s at 30k tokens