Waiting for llama.cpp support to land, but this might be a big deal for Strix Halo users.
6B active params helps around the memory bandwidth constraints, but a 128GB box can probably run the Q3/Q4 quants fairly easily with a decent context size. This might actually be better for strix users than 27B, which was already very good.
In my early testing it's way better both quality and speed on Strix Halo (posted recipe in sibling comment).
Using llama.cpp I one-shotted (2 hours) a reasonable asteroids clone on my strix halo/128 using the 1 bit quant, using my custom harness (which isn't anything exceptional).
It was tedious - a lot of second guessing itself, and quadruple checking things it fixed a couple of iterations back - but it got there and the result is a playable game.
Speed starts out strong, but definitely drops off as context grows. At the end (I think context about 70k) it was down to 12 output tps.
Mind a bit blown.