I do! I have an M3 Ultra with 512GB. A couple of opencode sessions running work well. Currently running GML 4.7 but was on Kimi K2.5. Both great. Excited for more efficiencies to make their way to LLMs in general.

There are some people on r/LocalLlama using it [0]. Seems like the consensus is while it does have more unified RAM for running models, up to half a terabyte, the token generation speed can be fairly slow such that it might just be better to get an Nvidia or AMD machine.

[0] https://old.reddit.com/r/LocalLLaMA/search?q=mac+studio&rest...

Not a Mac Studio but I use a basic Macbook Pro laptop with 24 GB of RAM (16 usable as VRAM) and I can run a number of models on it at decent speed, my main bottleneck is context window size, but if I am asking single purpose questions I am fine.

Mine is a M1 ultra with 128gb of ram. It's fast enough for me.