<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ollama on EverythingPython</title><link>https://everythingpython.in/blog/ollama/</link><description>Recent content in Ollama on EverythingPython</description><generator>Hugo</generator><language>en-US</language><copyright>Contents under CC-BY-NC</copyright><lastBuildDate>Fri, 03 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://everythingpython.in/blog/ollama/index.xml" rel="self" type="application/rss+xml"/><item><title>I want to run LLM Models locally. What do I do?</title><link>https://everythingpython.in/blog/i-want-to-run-llm-models-locally-what-do-i-do/</link><pubDate>Fri, 03 Jan 2025 00:00:00 +0000</pubDate><guid>https://everythingpython.in/blog/i-want-to-run-llm-models-locally-what-do-i-do/</guid><description>&lt;p&gt;One of the most sought after things to learn right now is about how to set up your own local LLM server and how to use LLM models locally.
With the arrival of some things like Ollama and LM Studio etc, it has become very easy.
Ollama is an orchestrator that lets you serve up models locally, models like Llama 3.1, Qwen-2.5, Phi, whatever models you have on HuggingFace.
These are available to be served up and many more.&lt;/p&gt;</description></item></channel></rss>