How to beginner · 3 min read

How to run Llama 3 locally with Ollama

Q: How to run Llama 3 locally with Ollama

Use Ollama to run Llama 3 locally by installing the ollama CLI, pulling the llama-3 model, and running it with simple commands. This enables local inference without cloud dependencies.

Quick answer

Use Ollama to run Llama 3 locally by installing the ollama CLI, pulling the llama-3 model, and running it with simple commands. This enables local inference without cloud dependencies.

PREREQUISITES

macOS or Linux system
Python 3.8+ (optional for scripting)
Install <code>ollama</code> CLI from https://ollama.com/download
Basic terminal/command line usage

Setup Ollama and Llama 3

First, install the ollama CLI from the official site. Then, pull the llama-3 model to your local machine using the CLI. This prepares the environment for local inference.

bash

brew install ollama
ollama pull llama-3

output

Downloading llama-3 model...
Model llama-3 pulled successfully.

Run Llama 3 locally with Ollama CLI

After setup, run the llama-3 model locally by invoking ollama run llama-3. You can pass prompts interactively or via command line arguments.

bash

ollama run llama-3 --prompt "Hello, how can I use Llama 3 locally?"

output

Llama 3 response: "You can run me locally using Ollama CLI for fast inference without internet."

Run Llama 3 locally with Python

Use Python to interact with the local Llama 3 model via subprocess calls to the ollama CLI for automation and integration in your projects.

python

import subprocess

prompt = "Explain how to run Llama 3 locally with Ollama."
result = subprocess.run([
    "ollama", "run", "llama-3", "--prompt", prompt
], capture_output=True, text=True)
print(result.stdout)

output

Llama 3 response: "To run Llama 3 locally, install Ollama CLI, pull the model, and use the CLI or subprocess calls in Python."

Common variations and troubleshooting

Use ollama run llama-3 --interactive for interactive sessions.
If the model fails to pull, check your internet connection and disk space.
Update ollama CLI regularly for latest features and bug fixes.

✅

Key Takeaways

Install Ollama CLI and pull Llama 3 model to run it locally without cloud dependency.
Use Ollama CLI commands or Python subprocess calls for local inference with Llama 3.
Interactive mode and troubleshooting tips improve your local Llama 3 experience.

Verified 2026-04 · llama-3

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