/2 VibeThinker-3B is a 3-billion-parameter model proving that top-tier verifiable reasoning can be efficiently compressed into small language models. It uses a "Spectrum-to-Signal" pipeline with supervised fine-tuning, reinforcement learning, and self-distillation. By optimizing

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