Ollama

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

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

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 Uncensored	7B	3.8GB	`ollama pull llama2-uncensored`
Llama2 13B	13B	7.3GB	`ollama pull llama2:13b`
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?

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

`POST /api/generate`

Generate text from a model.

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

`POST /api/create`

Create a model from a Modelfile.

curl -X POST http://localhost:11434/api/create -d '{"name": "my-model", "path": "/path/to/modelfile"}'

Projects built with Ollama

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.
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

TDHTTTT/ollama