VibeThinker-3B, a 3 billion parameter small language model, outperforms Opus 4.5 on reasoning tasks using a novel SFT+GRPO training method. The paper, authored by Sen Xu and eight others, explores verifiable reasoning frontiers in compact models. This demonstrates that smaller models can surpass larger ones with targeted training techniques.
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Build Memory-Efficient Transformers with xFormers