Deploying Large Language Models (LLMs) with Ollama

Ollama is an open-source platform for running large language models locally (Llama 3, DeepSeek R1, Mistral, Phi-4, Gemma 2, and more) with no internet connection or cloud API required. Running models locally improves privacy, security, and gives you full control over performance tuning. This guide installs Ollama on Linux/macOS/Windows, downloads and runs models, and covers management and environment-variable configuration.

Install Ollama

Linux

1. Install via the official script:

$ curl -fsSL https://ollama.com/install.sh | sh

Deploying Large Language Models (LLMs) with Ollama

Related reading

What Is Ollama? The Complete Guide to Running LLMs Locally in 2026

Run a Local AI Model with Ollama in 15 Minutes - MachineLearningMastery.com

LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash

Using Scikit-LLM with Open-Source LLMs - MachineLearningMastery.com

Getting Started: Run Your First Local LLM in 5 Minutes

Running Local LLMs in Java: Introducing jllm – A Minimalist Ollama Alternative