<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large Language Models on Blogging aCross Domains</title><link>https://www.allmer.de/blog/ml/llm/</link><description>Recent content in Large Language Models on Blogging aCross Domains</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 07 May 2026 09:18:56 +0200</lastBuildDate><atom:link href="https://www.allmer.de/blog/ml/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Ollama</title><link>https://www.allmer.de/blog/ml/llm/ollama/</link><pubDate>Thu, 21 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.allmer.de/blog/ml/llm/ollama/</guid><description>&lt;p>&lt;a href="https://ollama.com/">Ollama&lt;/a> is a convenient tool for quickly setting up a local LLM. Indeed, every prepper must have it on their system.&lt;/p>
&lt;p>The &lt;a href="https://github.com/ollama/ollama/">setup of Ollama&lt;/a> is unspectacular, and you can simply follow the instructions or use an installable. That should be done in a few minutes. You can then run any of the many &lt;a href="https://ollama.com/search">available models&lt;/a>. Make sure to first start the server (ollama serve) and then load (ollama load llama3.2) or run (ollama run mistral) the model you choose.&lt;/p></description></item></channel></rss>