ollama

command module
v0.0.1 Latest Latest
Warning

This package is not in the latest version of its module.

 Go to latest Published: Feb 1, 2025 License: MIT Imports: 3 Imported by: 0

README

  ollama

Ollama

Get up and running with large language models.

macOS

Download

Windows

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
Community

Quickstart

To run and chat with Llama 3.2:

ollama run llama3.2

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 3.3 70B 43GB ollama run llama3.3
Llama 3.2 3B 2.0GB ollama run llama3.2
Llama 3.2 1B 1.3GB ollama run llama3.2:1b
Llama 3.2 Vision 11B 7.9GB ollama run llama3.2-vision
Llama 3.2 Vision 90B 55GB ollama run llama3.2-vision:90b
Llama 3.1 8B 4.7GB ollama run llama3.1
Llama 3.1 405B 231GB ollama run llama3.1:405b
Phi 4 14B 9.1GB ollama run phi4
Phi 3 Mini 3.8B 2.3GB ollama run phi3
Gemma 2 2B 1.6GB ollama run gemma2:2b
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 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 llama3.2 model:

ollama pull llama3.2

Create a Modelfile:

FROM llama3.2

# 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 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 llama3.2

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

Remove a model
ollama rm llama3.2
Copy a model
ollama cp llama3.2 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 llama3.2 "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 llama3.2
List models on your computer
ollama list
List which models are currently loaded
ollama ps
Stop a model which is currently running
ollama stop llama3.2
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 llama3.2

REST API

Ollama has a REST API for running and managing models.

Generate a response
curl http://localhost:11434/api/generate -d '{
  "model": "llama3.2",
  "prompt":"Why is the sky blue?"
}'
Chat with a model
curl http://localhost:11434/api/chat -d '{
  "model": "llama3.2",
  "messages": [
    { "role": "user", "content": "why is the sky blue?" }
  ]
}'

See the API documentation for all endpoints.

Community Integrations

Web & Desktop
Cloud
Terminal
Apple Vision Pro
Database
  • pgai - PostgreSQL as a vector database (Create and search embeddings from Ollama models using pgvector)
  • MindsDB (Connects Ollama models with nearly 200 data platforms and apps)
  • chromem-go with example
  • Kangaroo (AI-powered SQL client and admin tool for popular databases)
Package managers
Libraries
Mobile
  • Enchanted
  • Maid
  • Ollama App (Modern and easy-to-use multi-platform client for Ollama)
  • ConfiChat (Lightweight, standalone, multi-platform, and privacy focused LLM chat interface with optional encryption)
Extensions & Plugins
Supported backends
  • llama.cpp project founded by Georgi Gerganov.
Observability
  • OpenLIT is an OpenTelemetry-native tool for monitoring Ollama Applications & GPUs using traces and metrics.
  • HoneyHive is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production.
  • Langfuse is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications.

Documentation

The Go Gopher

There is no documentation for this package.

Source Files

View all Source files

Directories

Path Synopsis
api
Package api implements the client-side API for code wishing to interact with the ollama service.
 Package api implements the client-side API for code wishing to interact with the ollama service.
examples/chat
examples/generate
examples/generate-streaming
examples/multimodal
examples/pull-progress
app
assets
lifecycle
store
tray
tray/commontray
tray/wintray
cmd
runner
sentencepiece
llama.cpp/common
llama.cpp/examples/llava
llama.cpp/src
runner
ml
backend/ggml/ggml/src
backend/ggml/ggml/src/ggml-cpu
backend/ggml/ggml/src/ggml-cpu/llamafile
model
imageproc
mllama
pixtral
qwen2vl
openai package provides middleware for partial compatibility with the OpenAI REST API
 openai package provides middleware for partial compatibility with the OpenAI REST API
types
errtypes
Package errtypes contains custom error types
 Package errtypes contains custom error types
model
Package model contains types and utilities for parsing, validating, and working with model names and digests.
 Package model contains types and utilities for parsing, validating, and working with model names and digests.
util
bufioutil

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL
go.dev uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more.
JackTT - Gopher 🇻🇳