How to use LLMs locally with ollama and Python
Last Updated on March 14, 2024 by Editorial Team
Author(s): Andrea D’Agostino
Originally published on Towards AI.
This article will walk you through using ollama, a command line tool that allows you to download, explore and use Large Language Models (LLM) on your local PC, whether Windows, Mac or Linux, with GPU support.
Photo by Paul Lequay on Unsplash
This article will walk you through using ollama, a command-line tool that allows you to download, explore, and use Large Language Models (LLM) on your PC.
By the end of this article, you will be able to launch models locally and query them via Python thanks to a dedicated endpoint provided by Ollama. Models will be fully customizable.
You’ll learn
What ollama is and why is it convenient to useHow to use ollama’s commands via the command lineHow to use ollama in a Python environment
Let’s get started.
ollama is an open-source tool that allows easy management of LLM on your local PC.
It supports virtually all of Hugging Face’s newest and most popular open source models and even allows you to upload new ones directly via its command-line interface to populate ollamas’ registry.
It is available both via GitHub and through the official website, where you can download the versions for Windows, Mac, and Linux.
The GitHub project is available here:
Get up and running with Llama 2,… Read the full blog for free on Medium.
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