Weight quantization, n-expert capping, routing to smaller model, context window truncation, aggressive sampling constraints, lossy speculative decoding and probably more.

I'm pretty sure you could do n-expert capping on any MoE model with only a handful lines of changes to ik_llama.cpp, but yeah... my bet is the have various quantisations and run the lower ones at peak (along with different system prompts i.e we're GPU-bound right now. Get to the point with less chatter)