In this tutorial, I'll guide you through running LLMs locally using Ollama. Ollama is a robust tool that enables local LLM execution, simplifying the development and testing of your applications. We'll cover setting up Ollama and using it to interact with an LLM.
First, visit the Ollama website and click the 'Download' button to go to the download page.
Click the 'Download for macOS' button to download the Ollama installer for macOS.
After the download completes, uncompress the file to access the Ollama installer.
Double-click the installer and follow the on-screen instructions to complete the installation.
Open the 'Terminal' application, found in the 'Utilities' section of your macOS menu.
Type the command ollama run gemma:2b and press enter to pull and run the gemma:2b model.
Gemma is a family of lightweight, state-of-the-art open models from Google, developed using the same research and technology behind the Gemini models. These text-to-text, decoder-only large language models are available in English with open weights, pre-trained variants, and instruction-tuned variants. Gemma models excel in various text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable on resource-limited environments like laptops, desktops, or personal cloud infrastructure, democratizing access to cutting-edge AI and fostering innovation.
Learn more about Gemma at huggingface.co/google/gemma-2b.
Once the model is running, send a message to the LLM by typing it in and pressing enter. You'll see a response from the LLM.
Congratulations! You have successfully run an LLM locally using Ollama. You can now interact with the LLM and explore the possibilities AI offers.
