It is surprising given how many parameters it has that it scores so low. But, hopefully this will build up domestic talent and understanding and let Europe compete on the world stage with this.

i mean qwen3.8 is a technical marvel

3.8-flash-next quantized in a "large" Q4 that just fits in 128GB RAM even more so, in how close it can get to state of the art in a number of benchmarks. Or a large Q8 version of it that fits in under 190GB. Competing against things that are closed weights/opaque information about the model and might very well be 600B+ in size.

it "fits" in 64 ram with mmap. granted it runs at 15 tk/s with a 9070xt but it runs

Right, I meant "fits" in the sense of I can load the whole thing into some combination of system RAM and GPU at llama-server launch.

15 tk/s isn't useless if you can give it big tasks to do overnight, or like ask it to do something and check back 3-4 hours later.

yeah specially if you have it do some long task that also has to wait for ie compilation anyways