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    <title>Laguna on ZML - Model to Metal</title>
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      <title>Laguna S 2.1</title>
      <link>https://zml.ai/posts/laguna-s-2-1/</link>
      <pubDate>Tue, 21 Jul 2026 19:00:00 +0100</pubDate>
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      <description>&lt;p&gt;In close collaboration with &lt;a href=&#34;https://poolside.ai/&#34;&gt;Poolside&lt;/a&gt;, we&amp;rsquo;re happy to announce the support of&#xA;&lt;a href=&#34;https://poolside.ai/blog/introducing-laguna-s-2-1&#34;&gt;Laguna S 2.1&lt;/a&gt;, their new open-weight model for agentic coding and&#xA;long-horizon work.&lt;/p&gt;&#xA;&lt;p&gt;It is a &lt;strong&gt;118B total parameters&lt;/strong&gt; Mixture-of-Experts model with &lt;strong&gt;8B activated parameters&lt;/strong&gt; per token&#xA;and supports a context window of up to &lt;strong&gt;1M tokens&lt;/strong&gt;, available in &lt;strong&gt;thinking&lt;/strong&gt; and &lt;strong&gt;no-thinking&lt;/strong&gt;&#xA;modes.&lt;/p&gt;&#xA;&lt;p&gt;And it&amp;rsquo;s &lt;strong&gt;available today&lt;/strong&gt; in ZML/LLMD &lt;strong&gt;with DFlash support&lt;/strong&gt;. Most importantly (and as always with us), it&amp;rsquo;s&#xA;available on all the supported platforms: &lt;strong&gt;NVIDIA&lt;/strong&gt;, &lt;strong&gt;AMD&lt;/strong&gt;, &lt;strong&gt;Intel&lt;/strong&gt;, &lt;strong&gt;Google TPU&lt;/strong&gt; and &lt;strong&gt;Apple Metal&lt;/strong&gt;.&lt;/p&gt;</description>
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