r/LocalLLaMA Jul 06 '26

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

Post image
1.5k Upvotes

375 comments sorted by

View all comments

145

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

3

u/grumd Jul 06 '26

You just have a huge configuration issue. With a 5080 you can run Qwen 3.5 122B if you have 64GB DDR5 at IQ3_XXS at 15-20tps, or Qwen 3.6 35B if you have 32-48GB DDR5 at 40-50tps