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Deutsch(DE) RT @vllm_project: vLLM v0.26.0 ist verfügbar! 411 Commits von 212 Mitwirkenden (61 neue). 🎉 Highlights: 🎯 Aufmerksamkeits-Backend wählbar pro KV-Cache-Gruppe 🪟

vLLM releases version 0.26.0 with selectable attention backends

By PulseAugur Editorial · [1 sources] ·

vLLM has released version 0.26.0, featuring 411 commits from 212 contributors. Key updates include the ability to select an attention backend per KV cache group. AI

IMPACT Improves inference performance and flexibility for LLM deployments.

RANK_REASON Software release for an open-source inference engine.

Read on Mastodon — fosstodon.org →

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

vLLM releases version 0.26.0 with selectable attention backends

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Software release for an open-source inference engine.
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High
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Story freshness
61 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Deutsch(DE) · [email protected] ·

    RT @vllm_project: vLLM v0.26.0 is available! 411 commits from 212 contributors (61 new). 🎉 Highlights: 🎯 Attention backend selectable per KV cache group 🪟

    RT @vllm_project: vLLM v0.26.0 ist verfügbar! 411 Commits von 212 Mitwirkenden (61 neue). 🎉 Highlights: 🎯 Aufmerksamkeits-Backend wählbar pro KV-Cache-Gruppe 🪟 Sliding Window ist nun eine explizite Backend-Funktion 🗄️ Gestufte KV-Auslagerung mit einer sekundären Objekt-Speicher-E…

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