<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Local LLM - Category - Jorgen Bergstrom</title><link>https://bergstrom.org/categories/local-llm/</link><description>Local LLM - Category - Jorgen Bergstrom</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Jorgen Bergstrom</copyright><lastBuildDate>Sat, 19 Oct 2024 00:00:00 -0500</lastBuildDate><atom:link href="https://bergstrom.org/categories/local-llm/" rel="self" type="application/rss+xml"/><item><title>Install llama.cpp and Gemma from Huggingface</title><link>https://bergstrom.org/posts/install_llama_cpp_and_gemma/</link><pubDate>Sat, 19 Oct 2024 00:00:00 -0500</pubDate><author>Jorgen Bergstrom</author><guid>https://bergstrom.org/posts/install_llama_cpp_and_gemma/</guid><description>Installation Learning how large language models (LLMs) like ChatGPT and Gemini work can be both fascinating and empowering. While using them through APIs is convenient, running one locally on your own computer unlocks deeper understanding and control. Fortunately, setting up your own LLM on Linux or Windows is surprisingly straightforward.
In this article, I will walk you through the simple steps to run a popular LLM like Transformers on your own computer.</description></item></channel></rss>