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Consistency diffusion language models: Up to 14x faster inference without sacrificing quality

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We introduce consistency diffusion language models (CDLM), which accelerates diffusion language model inference by combining consistency-based multi-token finalization with block-wise KV caching, achieving up to 14.5 x latency speedups on math and coding tasks.

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