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    Qwen3-8B’s prompt-processing time reportedly halved

    The user says adding an approximation model cut processing time in half while preserving similar output, without modifying Qwen3-8B itself.

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    1 Source, 17d ago, first seen 17d ago

    TLDR

    A user reports applying a later-layer key-value (KV) approximation technique to Qwen3-8B, describing it as the mechanism DeepSeek-V4.1-Flash calls “Encoder-Decoder.” They say it halved prefill time—the time spent processing a prompt before generating a response—with similar output. According to the user, the approach adds an approximation model rather than changing the original model.

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    1 Source, first seen 17d ago

    Combined views

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    1 Source, first seen 17d ago

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    1 Source

    @PMinerviniRT @kis: やった! DeepSeek-V4.1-FlashがEncoder-Decoderと呼んでいる後半層KV近似の仕組みをQwen3-8Bに適用して、プレフィル時間半分、出力同様というのができた! つまりこの仕組みは、既存のモデルでも、モデル自体をいじらず近似モデル…

    1 Source

    @PMinerviniRT @kis: やった! DeepSeek-V4.1-FlashがEncoder-Decoderと呼んでいる後半層KV近似の仕組みをQwen3-8Bに適用して、プレフィル時間半分、出力同様というのができた! つまりこの仕組みは、既存のモデルでも、モデル自体をいじらず近似モデル…