<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Local Inference - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Local Inference News feed</description>
    <item>
      <title>Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution</title>
      <link>https://www.infoq.com/news/2026/08/meta-muse-glimmer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Local+Inference-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. It enables autonomous agents and complex task execution on consumer GPUs without relying on cloud APIs. The model employs a multi-stage training approach for efficient performance and supports multimodal inputs, enhancing coding and automation tasks.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Foundation Model</category>
      <category>Large language models</category>
      <category>AI Architecture</category>
      <category>Local Inference</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 14 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/meta-muse-glimmer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Local+Inference-news</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-14T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/meta-muse-glimmer/en</dc:identifier>
    </item>
  </channel>
</rss>
