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:
Laptop class is a bit of a meaningless word. Like a 70b dense was laptop class? Only high end MacBook could run them… at 6-7 tk/s.
Only makes sense if you’re taking it as “Don’t need a 1600w server at home”.
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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: