Inspired by the big.LITTLE architecture in phone SoCs — a few big cores for heavy lifting, many LITTLE cores for efficient background work, and a scheduler that migrates tasks by demand — Myriad-MoE applies the same idea to LLM adapters. Grafted onto a frozen Gemma-4-12B backbone (48 layers, work, 16 clans × 16 LITTLE micro-experts absorb fine-grained load, and 1 always-on shared core holds global context like a system housekeeping core. Learned routers play scheduler; training uses supervised domain routing, 4-bit QLoRA-style adapters, and a hot-swappable patch workflow. Ships with a FastAPI backend and a pnpm (Vite + React) chat UI with a live routing probe. MoE adapters are grafted onto…