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    <title>links.lmorchard.com - #llama</title>
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    <lastBuildDate>Mon, 02 Nov 2026 08:24:58 +0000</lastBuildDate>
    <item>
      <title>Everything I&#39;ve learned so far about running local LLMs</title>
      <link>https://nullprogram.com/blog/2024/11/10/</link>
      <description>Over the past month I’ve been exploring the rapidly evolving world of Large Language Models (LLM). It’s now accessible enough to run a LLM on a Raspberry Pi smarter than the original ChatGPT (November 2022). A modest desktop or laptop supports even smarter AI. It’s also private, offline, unlimited, and registration-free. The technology is improving at breakneck speed, and information is outdated in a matter of months. This article snapshots my practical, hands-on knowledge and experiences — information I wish I had when starting. Keep in mind that I’m a LLM layman, I have no novel insights to share, and it’s likely I’ve misunderstood certain aspects. In a year this article will mostly be a historical footnote, which is simultaneously exciting and scary.&lt;br/&gt;&#xA;&lt;p&gt;&lt;strong&gt;Tags:&lt;/strong&gt; #ai #genai #llama #llm #ml&lt;/p&gt;</description>
      <pubDate>Mon, 11 Nov 2024 19:09:06 +0000</pubDate>
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      <category>ai</category>
      <category>genai</category>
      <category>llama</category>
      <category>llm</category>
      <category>ml</category>
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