I run 35B–480B coding models on my 36 GB MacBook by streaming MoE experts from SSD — self-contained app, and I publish the benchmarks that *failed* too

I got tired of "your Mac can't run that" so I forked llama.cpp to stream a MoE model's expert weights from SSD instead of forcing the whole thing into RAM. A MoE only fires a few experts per token, so most weights sit idle — Slipstream keeps the always-needed weights resident and streams the routed