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Run, customize, and share self-contained & portable large language models

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Ollama

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

Create, run, and share portable large language models (LLMs). Ollama bundles a model’s weights, configuration, prompts, and more into self-contained packages that can run on any machine.

Portable Large Language Models (LLMs)

Package models as a series of layers in a portable, easy to manage format.

The idea behind Ollama

  • Universal model format that can run anywhere: desktop, cloud servers & other devices.
  • Encapsulate everything a model needs to operate – weights, configuration, and data – into a single package.
  • Build custom models from base models like Meta's Llama 2
  • Share large models without having to transmit large amounts of data.
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This format is inspired by the image spec originally introduced by Docker for Linux containers. Ollama extends this format to package large language models.

Download

  • Download for macOS on Apple Silicon (Intel coming soon)
  • 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, pre-trained models. More models are coming soon. 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.

Model Parameters Size Download
Llama2 7B 3.8GB ollama pull llama2
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

Examples

Run a model

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

Create a custom character model

Pull a base model:

ollama pull llama2

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.

Pull a model from the registry

ollama pull orca

Building

go build .

To run it start the server:

./ollama serve &

Finally, run a model!

./ollama run llama2

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Run, customize, and share self-contained & portable large language models

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