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

CommunityNews

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

Standard diffusion language models can’t use KV caching and need too many refinement steps to be practical. CDLM fixes both with a post-training recipe that enables exact block-wise KV caching and trajectory-consistent step reduction — delivering up to 14.5x latency improvements

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