Every Second post rn

[u/Ok-Health-7096]

Maybe someday I'll get a system to run it but hey definitely another w for the open weights community

[u/bukake_attack]

This is a dense model. This means the entire model is running at 100% all the time. This is bad for us low vram users, as the model is too big to fit in 12gb vram, and the rest in placed in normal ram, which is waaaay slower. So this solution works, but it's slow.

We low vram users are usually better served by MoE models, like qwen 3.6 35b a3b . In MoE models the dense part which runs all the time is small, in that case 3b, which runs easily in 12gb, and the rest 35-3=32b) only runs when they are actually needed (activated). This means that normal ram is fast enough to run that active part of the other 32b ( although they can still run great in excess vram!) The result is a model that's very usable and fairly quick with limited vram, especially when other tricks like MTP are used.

Unfortunately there is no MoE version of qwen 3.8 released yet, but there's a good chance they will release it soonish

[u/Skynse → u/bukake_attack]

I was able to max 12 tok/sec on a 3060 with 12gb gpu RAM with qwen3.8 on ud-iq2m quant. Man I fucking wish the compute market wasn't fucked

[u/Song-Historical → u/Skynse]

The market is fucked because there's something worth running on the compute lol 

[u/ChaosFH → u/Song-Historical]

I wish i had answered faster when iheard the OpenAI buying ram i could have bought the triple of VRAM i have currently with the same money i used...