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DeepSeek-v4.1-Flash Targets KV Cache Compression Limits

Original: DeepSeek-v4.1-Flash: Pushing the Limits of KV Cache Compression

A new paper describes DeepSeek-v4.1-Flash, a model variant focused on pushing the limits of KV cache compression, a technique that reduces memory use when running large language models. Discussion is centering on whether the compression gains could make inference cheaper and allow the model to run on more modest hardware.

Why now: Interest in cheaper, more memory-efficient LLM inference is high as AI costs keep climbing

DeepSeekKV cache compressionarXiv

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Evidence

• DeepSeek-v4.1-Flash: Pushing the Limits of KV Cache Compression · jonbaer · 6

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