<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>MergeKit Blog</title>
    <link>https://mergekit.com/blog</link>
    <description>Guides, deep-dives, and community insights on LLM model merging, merge methods, and the open-source AI ecosystem.</description>
    <language>en-US</language>
    <lastBuildDate>Mon, 20 Apr 2026 15:26:45 GMT</lastBuildDate>
    <atom:link href="https://mergekit.com/feed.xml" rel="self" type="application/rss+xml" />
    <item>
      <title><![CDATA[What Is Model Merging? A Practical Guide for 2026]]></title>
      <link>https://mergekit.com/blog/what-is-model-merging</link>
      <guid isPermaLink="true">https://mergekit.com/blog/what-is-model-merging</guid>
      <description><![CDATA[Model merging lets you combine the strengths of multiple fine-tuned LLMs into one — without any extra training. Learn how it works, the most popular methods, and why the community is building an entire ecosystem around it.]]></description>
      <pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate>
      <author>MergeKit Team</author>
      <category>model merging</category>
      <category>LLM</category>
      <category>open source</category>
      <category>guide</category>
    </item>
    <item>
      <title><![CDATA[Top 5 Model Merge Methods Compared: SLERP, TIES, DARE & More]]></title>
      <link>https://mergekit.com/blog/top-5-merge-methods-compared</link>
      <guid isPermaLink="true">https://mergekit.com/blog/top-5-merge-methods-compared</guid>
      <description><![CDATA[A side-by-side breakdown of the most popular LLM merge methods — when to use each, how they differ, and which ones dominate the leaderboards in 2026.]]></description>
      <pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate>
      <author>MergeKit Team</author>
      <category>merge methods</category>
      <category>SLERP</category>
      <category>TIES</category>
      <category>DARE</category>
      <category>comparison</category>
    </item>
    <item>
      <title><![CDATA[Why Merged Models Keep Topping the Open LLM Leaderboard]]></title>
      <link>https://mergekit.com/blog/why-merged-models-top-leaderboards</link>
      <guid isPermaLink="true">https://mergekit.com/blog/why-merged-models-top-leaderboards</guid>
      <description><![CDATA[Merged models regularly outperform traditionally trained ones on public benchmarks. Here's what's happening under the hood and what it means for the future of open-source AI.]]></description>
      <pubDate>Sat, 28 Feb 2026 00:00:00 GMT</pubDate>
      <author>MergeKit Team</author>
      <category>leaderboard</category>
      <category>open source</category>
      <category>benchmarks</category>
      <category>community</category>
    </item>
  </channel>
</rss>