<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Qwen on Bits &amp; pieces - Sven Wehrend</title><link>http://wehrend.github.io/tags/qwen/</link><description>Recent content in Qwen on Bits &amp; pieces - Sven Wehrend</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 05 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://wehrend.github.io/tags/qwen/index.xml" rel="self" type="application/rss+xml"/><item><title>Getting started with AI... (self-hosting an experiment)</title><link>http://wehrend.github.io/posts/web/37-getting-started-with-ai/</link><pubDate>Sun, 05 Jul 2026 00:00:00 +0000</pubDate><guid>http://wehrend.github.io/posts/web/37-getting-started-with-ai/</guid><description>&lt;div class="paragraph">
&lt;p>Hello folks,&lt;/p>
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&lt;div class="paragraph">
&lt;p>today I want to give you a tutorial on how to start with AI on your own local machine. This is a very rewarding task,
expecially if you can use your self-hosted AI on a daily base on your own machine. Todo that only three points have to be done.
I’ll show you for Debian Trixie…​&lt;/p>
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&lt;p>Run the ollama script and install a model (the backend / core logic)&lt;/p>
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&lt;p>Install docker (needed for WebUI)&lt;/p>
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&lt;p>Install WebUI itself (this is needed as a frontend and to administrate the chats)&lt;/p>
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