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Ornith-1.5 introduces a self-improvement loop where models propose tasks, generate scaffolds, and produce rollouts for reinforcement learning. It spans 397B MoE, 35B MoE, and 9B dense scales. The 397B scores 86.1 on Terminal-Bench 2.1, matching Claude Opus 4.8. The 9B runs on mobile devices.
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