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A post on r/LocalLLaMA links the IQuestLab/IQuest-Q1 model page on Hugging Face.
QbitAI reports IQuest-Q1, a decoder-only sparse-MoE model with about 320B total parameters and roughly 15B active. Demonstrations include generating a playable racing game from a single prompt, solving 100k-step three-body equations, and spotting a hidden-space bug in RL training data. QbitAI says it performs well on benchmarks including NL2Repo, CyberGym, Terminal-Bench 2.1, DeepSWE v1.1 and JobBench.