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vLLM releases 0.28.0rc2 with DFlash2 performance enhancements

By PulseAugur Editorial · [1 sources] ·

vLLM has released version 0.28.0rc2, introducing the DFlash2 system. This update incorporates a local convolution method combined with a candidate selector to enhance performance. The release includes contributions from khluu, who signed off on the changes. AI

IMPACT This update to vLLM likely improves inference performance and efficiency for large language models.

RANK_REASON This is a release of a specific version of an open-source library for LLM serving, not a frontier model release.

Read on vLLM — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

vLLM releases 0.28.0rc2 with DFlash2 performance enhancements

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This is a release of a specific version of an open-source library for LLM serving, not a frontier model release.
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COVERAGE [1]

  1. vLLM — Releases TIER_1 English(EN) · SubSir ·

    v0.28.0rc2: [Spec Decode] DFlash2: local convolution + candidate selector (#52816)

    <p>(cherry picked from commit <a class="commit-link" href="https://github.com/vllm-project/vllm/commit/b389ac29465b33f9e9c534df221ea3c129e9793f"><tt>b389ac2</tt></a>)</p> <p>Signed-off-by: khluu <a href="mailto:[email protected]">[email protected]</a></p>

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