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Vortex achieves up to 4.7 times higher throughput for large language models, revolutionizing how researchers can prototype and evaluate sparse attention algorithms.
Ditch the slow lane: $R^2$-dLLM turbocharges diffusion language models by slashing decoding steps by up to 75% without sacrificing quality.
