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Josh Yan 7b8ca2dc0f add q4_0_4_4/4_8/8_8 9 달 전
.github 5d604eec5b Bump Go patch version 9 달 전
api 5c1912769e Merge pull request #5473 from ollama/mxyng/environ 9 달 전
app 5c1912769e Merge pull request #5473 from ollama/mxyng/environ 9 달 전
auth 0a7fdbe533 prompt to display and add local ollama keys to account (#3717) 1 년 전
cmd c4c84b7a0d Merge pull request #5196 from ollama/mxyng/messages-2 9 달 전
convert d835368eb8 convert: capture `head_dim` for mistral (#5818) 9 달 전
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integration 5c1912769e Merge pull request #5473 from ollama/mxyng/environ 9 달 전
llm 7b8ca2dc0f add q4_0_4_4/4_8/8_8 9 달 전
macapp 0e4d653687 upate to `llama3.1` elsewhere in repo (#6032) 9 달 전
openai 365431d406 return tool calls finish reason for openai (#5995) 9 달 전
parser f3d7a481b7 feat: add support for min_p (resolve #1142) (#1825) 9 달 전
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scripts ce3c93b08f Report better error on cuda unsupported os/arch 9 달 전
server d87b4a488e fix modelfile message quotes 9 달 전
template ec4c35fe99 Merge pull request #5512 from ollama/mxyng/detect-stop 9 달 전
types 631cfd9e62 types/model: remove knowledge of digest (#5500) 10 달 전
util cb42e607c5 llm: speed up gguf decoding by a lot (#5246) 10 달 전
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Dockerfile f02f83660c bump go version to 1.22.5 to fix security vulnerabilities 9 달 전
LICENSE df5fdd6647 `proto` -> `ollama` 1 년 전
README.md 71399aa682 Added BoltAI as a desktop UI for Ollama (#6096) 9 달 전
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README.md

 ollama

Ollama

Discord

Get up and running with large language models.

macOS

Download

Windows preview

Download

Linux

curl -fsSL https://ollama.com/install.sh | sh

Manual install instructions

Docker

The official Ollama Docker image ollama/ollama is available on Docker Hub.

Libraries

Quickstart

To run and chat with Llama 3.1:

ollama run llama3.1

Model library

Ollama supports a list of models available on ollama.com/library

Here are some example models that can be downloaded:

Model Parameters Size Download
Llama 3.1 8B 4.7GB ollama run llama3.1
Llama 3.1 70B 40GB ollama run llama3.1:70b
Llama 3.1 405B 231GB ollama run llama3.1:405b
Phi 3 Mini 3.8B 2.3GB ollama run phi3
Phi 3 Medium 14B 7.9GB ollama run phi3:medium
Gemma 2 9B 5.5GB ollama run gemma2
Gemma 2 27B 16GB ollama run gemma2:27b
Mistral 7B 4.1GB ollama run mistral
Moondream 2 1.4B 829MB ollama run moondream
Neural Chat 7B 4.1GB ollama run neural-chat
Starling 7B 4.1GB ollama run starling-lm
Code Llama 7B 3.8GB ollama run codellama
Llama 2 Uncensored 7B 3.8GB ollama run llama2-uncensored
LLaVA 7B 4.5GB ollama run llava
Solar 10.7B 6.1GB ollama run solar

[!NOTE] You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.

Customize a model

Import from GGUF

Ollama supports importing GGUF models in the Modelfile:

  1. Create a file named Modelfile, with a FROM instruction with the local filepath to the model you want to import.

    FROM ./vicuna-33b.Q4_0.gguf

  2. Create the model in Ollama

    ollama create example -f Modelfile

  3. Run the model

    ollama run example

Import from PyTorch or Safetensors

See the guide on importing models for more information.

Customize a prompt

Models from the Ollama library can be customized with a prompt. For example, to customize the llama3.1 model:

ollama pull llama3.1

Create a Modelfile:

FROM llama3.1

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

# set the system message
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 working with a Modelfile, see the Modelfile documentation.

CLI Reference

Create a model

ollama create is used to create a model from a Modelfile.

ollama create mymodel -f ./Modelfile

Pull a model

ollama pull llama3.1

This command can also be used to update a local model. Only the diff will be pulled.

Remove a model

ollama rm llama3.1

Copy a model

ollama cp llama3.1 my-model

Multiline input

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.

Multimodal models

ollama run llava "What's in this image? /Users/jmorgan/Desktop/smile.png"
The image features a yellow smiley face, which is likely the central focus of the picture.

Pass the prompt as an argument

$ ollama run llama3.1 "Summarize this file: $(cat README.md)"
 Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications.

Show model information

ollama show llama3.1

List models on your computer

ollama list

Start Ollama

ollama serve is used when you want to start ollama without running the desktop application.

Building

See the developer guide

Running local builds

Next, start the server:

./ollama serve

Finally, in a separate shell, run a model:

./ollama run llama3.1

REST API

Ollama has a REST API for running and managing models.

Generate a response

curl http://localhost:11434/api/generate -d '{
  "model": "llama3.1",
  "prompt":"Why is the sky blue?"
}'

Chat with a model

curl http://localhost:11434/api/chat -d '{
  "model": "llama3.1",
  "messages": [
    { "role": "user", "content": "why is the sky blue?" }
  ]
}'

See the API documentation for all endpoints.

Community Integrations

Web & Desktop

Terminal

Database

Package managers

Libraries

Mobile

Extensions & Plugins

Supported backends

  • llama.cpp project founded by Georgi Gerganov.