Getting Started with Ollama in 2026

Why Ollama?

Ollama is the fastest way to run large language models locally. No cloud API keys. No usage fees. No data leaving your machine. In 2026, it supports over 200 models out of the box — from Llama 3.3 to DeepSeek-R1 to Mistral Large. What you get:

• One-command model downloads
• Automatic GPU detection and optimization
• OpenAI-compatible API server
• Works on Mac, Linux, and Windows

Installation

macOS

brew install ollama

Linux

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

Windows

Pull Your First Model

ollama pull llama3.3

This downloads the Llama 3.3 8B model (~4.7GB). For machines with less RAM, try:

ollama pull phi3:mini

Start a Conversation

ollama run llama3.3

That's it. You're now running a state-of-the-art language model entirely on your hardware.

Use the API

Ollama runs a local API server on port 11434. Use it like OpenAI's API:

curl http://localhost:11434/api/chat -d '{
  "model": "llama3.3",
  "messages": [{"role": "user", "content": "Explain quantum computing simply"}]
}'

Python Integration

import requests

response = requests.post("http://localhost:11434/api/chat", json={
    "model": "llama3.3",
    "messages": [{"role": "user", "content": "Write a haiku about local AI"}],
    "stream": False
})

print(response.json()["message"]["content"])

Using the OpenAI SDK

from openai import OpenAI

client = OpenAI(base_url="http://localhost:11434/v1", api_key="ollama")
response = client.chat.completions.create(
    model="llama3.3",
    messages=[{"role": "user", "content": "Hello!"}]
)

Model Recommendations for 2026

Hardware Quick Check

Check our Best GPUs for Local LLMs guide for detailed hardware recommendations.

What's Next?

• Customize models with Modelfiles for system prompts and parameters
• Build apps using the OpenAI-compatible API
• Try different models — ollama list shows all available options
• Join the community on r/LocalLLaMA and the Ollama Discord