Ollama

Run, create, and share large language models (LLMs).

Note: Ollama is in early preview. Please report any issues you find.

Download

• Download for macOS
• Download for Windows and Linux (coming soon)
• Build from source

Quickstart

To run and chat with Llama 2, the new model by Meta:

ollama run llama2

Model library

ollama includes a library of open-source models:

Model	Parameters	Size	Download
Llama2	7B	3.8GB	ollama pull llama2
Llama2 13B	13B	7.3GB	ollama pull llama2:13b
Llama2 70B	70B	39GB	ollama pull llama2:70b
Llama2 Uncensored	7B	3.8GB	ollama pull llama2-uncensored
Orca Mini	3B	1.9GB	ollama pull orca
Vicuna	7B	3.8GB	ollama pull vicuna
Nous-Hermes	13B	7.3GB	ollama pull nous-hermes
Wizard Vicuna Uncensored	13B	7.3GB	ollama pull wizard-vicuna

Note: You should have at least 8 GB of RAM to run the 3B models, 16 GB to run the 7B models, and 32 GB to run the 13B models.

Examples

Run a model

ollama run llama2
>>> hi
Hello! How can I help you today?

For multiline input, you can wrap text with """:

>>> """Hello,
... world!
... """
I'm a basic program that prints the famous "Hello, world!" message to the console.

Create a custom model

Pull a base model:

ollama pull llama2

To update a model to the latest version, run ollama pull llama2 again. The model will be updated (if necessary).

Create a Modelfile:

FROM llama2

# set the temperature to 1 [higher is more creative, lower is more coherent]
PARAMETER temperature 1

# set the system prompt
SYSTEM """
You are Mario from Super Mario Bros. Answer as Mario, the assistant, only.
"""

Next, create and run the model:

ollama create mario -f ./Modelfile
ollama run mario
>>> hi
Hello! It's your friend Mario.

For more examples, see the examples directory. For more information on creating a Modelfile, see the Modelfile documentation.

Pull a model from the registry

ollama pull orca

Listing local models

ollama list

Model packages

Overview

Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile.

Building

go build .

To run it start the server:

./ollama serve &

Finally, run a model!

./ollama run llama2

REST API

See the API documentation for all endpoints.

Ollama has an API for running and managing models. For example to generate text from a model:

curl -X POST http://localhost:11434/api/generate -d '{
  "model": "llama2",
  "prompt":"Why is the sky blue?"
}'

Tools using Ollama

• LangChain and LangChain.js with a question-answering example.
• Continue - embeds Ollama inside Visual Studio Code. The extension lets you highlight code to add to the prompt, ask questions in the sidebar, and generate code inline.
• LiteLLM a lightweight python package to simplify LLM API calls
• Discord AI Bot - interact with Ollama as a chatbot on Discord.
• Raycast Ollama - Raycast extension to use Ollama for local llama inference on Raycast.
• Simple HTML UI for Ollama
• Emacs client for Ollama