GitHub Repo
Edge0 Streams MoE Experts from SSD, Requiring Just 2.9 GiB of Active Memory for a 35B Model at Short Context Lengths
The new open-source framework uses predictive routing to preload experts for the next step and Recover-LoRA to compensate for int4 quantization loss, so the entire 23GB checkpoint does not need to remain resident in memory. Official M4 Pro tests measured 14.9–17.7 tokens per second, but the framework currently supports only Apple Silicon, and its memory and quality results have yet to be independently reproduced.