Strata工具显著提升Qwen模型的LLM推理速度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-03 13:39

一位Reddit r/LocalLLaMA板块的用户分享了他们使用Strata的经验，该工具显著提高了他们的LLM推理速度。他们报告称，在使用Strata配合llama.cpp上的Qwen 3.8 flash next模型时，速度从每秒70-80个token提升到了每秒150个token。该用户还提到，DeepSeek v4.1 flash 2.25bit达到了每秒70个token，并提及在使用具有160k上下文窗口的Unsloth进行6位量化时，在配备多GPU的Pro设置上。 AI

影响该工具可以显著提高运行本地LLM的效率和速度，使其对用户来说更易于访问和实用。

排序理由用户分享的关于LLM优化工具的经验。

在 r/LocalLLaMA 阅读 →

基础设施

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户分享的关于LLM优化工具的经验。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/lblblllb · 2026-11-03 13:39

Strata牛逼

<div class="md"><p>Have been using qwen 3.8 flash next with llamaserver. Was getting 70-80tk/s decode and was happy. Then read about strata and decided to give it a try. Decode shot up to 150 tk/s. Not sure what magic it's using? You should give it a try if you are…

本文如何被排名

报道来源 [1]

Strata牛逼

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