IQuest-Q1: Beijing lab claims the largest Muon-trained model
From the AI digest for Oct 26, 2026
What happened: Coverage carried October 26 reports IQuest-Q1, from Beijing lab IQuest Research, is the largest known deployment of the Muon optimizer to date — a 320-billion-parameter model with a claimed 1.93× compute-efficiency advantage (MSN syndication).
What's genuinely new: The first item on Muon at scale here: the alternative-optimizer thesis (Muon versus the Adam family) pushed to 320 billion parameters by a Chinese lab, with an efficiency multiple attached.
Watch: A single syndication with the original outlet unnamed in the capture — the paper, benchmarks, and the 1.93× claim need checking against IQuest's own release, and other labs' confirmation of Muon at pre-training scale.
Sources MSN syndication