Note: Ollama is in early preview. Please report any issues you find.
Run, create, and share large language models (LLMs).
- Download for macOS on Apple Silicon (Intel coming soon)
- Download for Windows and Linux (coming soon)
- Build from source
To run and chat with Llama 2, the new model by Meta:
ollama run llama2
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.
ollama run llama2
>>> hi
Hello! How can I help you today?
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.
ollama pull orca
ollama list
Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile.
go build .
To run it start the server:
./ollama serve &
Finally, run a model!
./ollama run llama2
Generate text from a model.
curl -X POST http://localhost:11434/api/generate -d '{"model": "llama2", "prompt":"Why is the sky blue?"}'
Create a model from a Modelfile
.
curl -X POST http://localhost:11434/api/create -d '{"name": "my-model", "path": "/path/to/modelfile"}'
- 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.