Patrick Devine
c13fb10e19
fix template for cohere2 arch conversion
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README.md
Ollama
Get up and running with large language models.
macOS
Windows
Linux
curl -fsSL https://ollama.com/install.sh | sh
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:
Create a file named
Modelfile, with aFROMinstruction with the local filepath to the model you want to import.FROM ./vicuna-33b.Q4_0.ggufCreate the model in Ollama
ollama create example -f ModelfileRun 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
- Open WebUI
- Enchanted (macOS native)
- Hollama
- Lollms-Webui
- LibreChat
- Bionic GPT
- HTML UI
- Saddle
- Chatbot UI
- Chatbot UI v2
- Typescript UI
- Minimalistic React UI for Ollama Models
- Ollamac
- big-AGI
- Cheshire Cat assistant framework
- Amica
- chatd
- Ollama-SwiftUI
- Dify.AI
- MindMac
- NextJS Web Interface for Ollama
- Msty
- Chatbox
- WinForm Ollama Copilot
- NextChat with Get Started Doc
- Alpaca WebUI
- OllamaGUI
- OpenAOE
- Odin Runes
- LLM-X (Progressive Web App)
- AnythingLLM (Docker + MacOs/Windows/Linux native app)
- Ollama Basic Chat: Uses HyperDiv Reactive UI
- Ollama-chats RPG
- IntelliBar (AI-powered assistant for macOS)
- QA-Pilot (Interactive chat tool that can leverage Ollama models for rapid understanding and navigation of GitHub code repositories)
- ChatOllama (Open Source Chatbot based on Ollama with Knowledge Bases)
- CRAG Ollama Chat (Simple Web Search with Corrective RAG)
- RAGFlow (Open-source Retrieval-Augmented Generation engine based on deep document understanding)
- StreamDeploy (LLM Application Scaffold)
- chat (chat web app for teams)
- Lobe Chat with Integrating Doc
- Ollama RAG Chatbot (Local Chat with multiple PDFs using Ollama and RAG)
- BrainSoup (Flexible native client with RAG & multi-agent automation)
- macai (macOS client for Ollama, ChatGPT, and other compatible API back-ends)
- RWKV-Runner (RWKV offline LLM deployment tool, also usable as a client for ChatGPT and Ollama)
- Ollama Grid Search (app to evaluate and compare models)
- Olpaka (User-friendly Flutter Web App for Ollama)
- OllamaSpring (Ollama Client for macOS)
- LLocal.in (Easy to use Electron Desktop Client for Ollama)
- Shinkai Desktop (Two click install Local AI using Ollama + Files + RAG)
- AiLama (A Discord User App that allows you to interact with Ollama anywhere in discord )
- Ollama with Google Mesop (Mesop Chat Client implementation with Ollama)
- R2R (Open-source RAG engine)
- Ollama-Kis (A simple easy to use GUI with sample custom LLM for Drivers Education)
- OpenGPA (Open-source offline-first Enterprise Agentic Application)
- Painting Droid (Painting app with AI integrations)
- Kerlig AI (AI writing assistant for macOS)
- AI Studio
- Sidellama (browser-based LLM client)
- LLMStack (No-code multi-agent framework to build LLM agents and workflows)
- BoltAI for Mac (AI Chat Client for Mac)
- Harbor (Containerized LLM Toolkit with Ollama as default backend)
- PyGPT (AI desktop assistant for Linux, Windows and Mac)
- Alpaca (An Ollama client application for linux and macos made with GTK4 and Adwaita)
- AutoGPT (AutoGPT Ollama integration)
- Go-CREW (Powerful Offline RAG in Golang)
- PartCAD (CAD model generation with OpenSCAD and CadQuery)
- Ollama4j Web UI - Java-based Web UI for Ollama built with Vaadin, Spring Boot and Ollama4j
- PyOllaMx - macOS application capable of chatting with both Ollama and Apple MLX models.
- Claude Dev - VSCode extension for multi-file/whole-repo coding
- Cherry Studio (Desktop client with Ollama support)
- ConfiChat (Lightweight, standalone, multi-platform, and privacy focused LLM chat interface with optional encryption)
- Archyve (RAG-enabling document library)
- crewAI with Mesop (Mesop Web Interface to run crewAI with Ollama)
- Tkinter-based client (Python tkinter-based Client for Ollama)
- LLMChat (Privacy focused, 100% local, intuitive all-in-one chat interface)
- Local Multimodal AI Chat (Ollama-based LLM Chat with support for multiple features, including PDF RAG, voice chat, image-based interactions, and integration with OpenAI.)
- ARGO (Locally download and run Ollama and Huggingface models with RAG on Mac/Windows/Linux)
- OrionChat - OrionChat is a web interface for chatting with different AI providers
- G1 (Prototype of using prompting strategies to improve the LLM's reasoning through o1-like reasoning chains.)
- Web management (Web management page)
- Promptery (desktop client for Ollama.)
- Ollama App (Modern and easy-to-use multi-platform client for Ollama)
- SpaceLlama (Firefox and Chrome extension to quickly summarize web pages with ollama in a sidebar)
- YouLama (Webapp to quickly summarize any YouTube video, supporting Invidious as well)
- DualMind (Experimental app allowing two models to talk to each other in the terminal or in a web interface)
- ollamarama-matrix (Ollama chatbot for the Matrix chat protocol)
- ollama-chat-app (Flutter-based chat app)
- Perfect Memory AI (Productivity AI assists personalized by what you have seen on your screen, heard and said in the meetings)
- Hexabot (A conversational AI builder)
- Reddit Rate (Search and Rate Reddit topics with a weighted summation)
- OpenTalkGpt (Chrome Extension to manage open-source models supported by Ollama, create custom models, and chat with models from a user-friendly UI)
- VT (A minimal multimodal AI chat app, with dynamic conversation routing. Supports local models via Ollama)
- Nosia (Easy to install and use RAG platform based on Ollama)
- Witsy (An AI Desktop application available for Mac/Windows/Linux)
- Abbey (A configurable AI interface server with notebooks, document storage, and YouTube support)
- Minima (RAG with on-premises or fully local workflow)
- aidful-ollama-model-delete (User interface for simplified model cleanup)
- Perplexica (An AI-powered search engine & an open-source alternative to Perplexity AI)
Cloud
Terminal
- oterm
- Ellama Emacs client
- Emacs client
- neollama UI client for interacting with models from within Neovim
- gen.nvim
- ollama.nvim
- ollero.nvim
- ollama-chat.nvim
- ogpt.nvim
- gptel Emacs client
- Oatmeal
- cmdh
- ooo
- shell-pilot(Interact with models via pure shell scripts on Linux or macOS)
- tenere
- llm-ollama for Datasette's LLM CLI.
- typechat-cli
- ShellOracle
- tlm
- podman-ollama
- gollama
- ParLlama
- Ollama eBook Summary
- Ollama Mixture of Experts (MOE) in 50 lines of code
- vim-intelligence-bridge Simple interaction of "Ollama" with the Vim editor
- x-cmd ollama
- bb7
- SwollamaCLI bundled with the Swollama Swift package. Demo
- aichat All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
- PowershAI PowerShell module that brings AI to terminal on Windows, including support for Ollama
- orbiton Configuration-free text editor and IDE with support for tab completion with Ollama.
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
- LangChain and LangChain.js with example
- Firebase Genkit
- crewAI
- Yacana (User-friendly multi-agent framework for brainstorming and executing predetermined flows with built-in tool integration)
- Spring AI with reference and example
- LangChainGo with example
- LangChain4j with example
- LangChainRust with example
- LangChain for .NET with example
- LLPhant
- LlamaIndex and LlamaIndexTS
- LiteLLM
- OllamaFarm for Go
- OllamaSharp for .NET
- Ollama for Ruby
- Ollama-rs for Rust
- Ollama-hpp for C++
- Ollama4j for Java
- ModelFusion Typescript Library
- OllamaKit for Swift
- Ollama for Dart
- Ollama for Laravel
- LangChainDart
- Semantic Kernel - Python
- Haystack
- Elixir LangChain
- Ollama for R - rollama
- Ollama for R - ollama-r
- Ollama-ex for Elixir
- Ollama Connector for SAP ABAP
- Testcontainers
- Portkey
- PromptingTools.jl with an example
- LlamaScript
- llm-axe (Python Toolkit for Building LLM Powered Apps)
- Gollm
- Gollama for Golang
- Ollamaclient for Golang
- High-level function abstraction in Go
- Ollama PHP
- Agents-Flex for Java with example
- Parakeet is a GoLang library, made to simplify the development of small generative AI applications with Ollama.
- Haverscript with examples
- Ollama for Swift
- Swollama for Swift with DocC
- GoLamify
- Ollama for Haskell
- multi-llm-ts (A Typescript/JavaScript library allowing access to different LLM in unified API)
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
- Raycast extension
- Discollama (Discord bot inside the Ollama discord channel)
- Continue
- Vibe (Transcribe and analyze meetings with Ollama)
- Obsidian Ollama plugin
- Logseq Ollama plugin
- NotesOllama (Apple Notes Ollama plugin)
- Dagger Chatbot
- Discord AI Bot
- Ollama Telegram Bot
- Hass Ollama Conversation
- Rivet plugin
- Obsidian BMO Chatbot plugin
- Cliobot (Telegram bot with Ollama support)
- Copilot for Obsidian plugin
- Obsidian Local GPT plugin
- Open Interpreter
- Llama Coder (Copilot alternative using Ollama)
- Ollama Copilot (Proxy that allows you to use ollama as a copilot like Github copilot)
- twinny (Copilot and Copilot chat alternative using Ollama)
- Wingman-AI (Copilot code and chat alternative using Ollama and Hugging Face)
- Page Assist (Chrome Extension)
- Plasmoid Ollama Control (KDE Plasma extension that allows you to quickly manage/control Ollama model)
- AI Telegram Bot (Telegram bot using Ollama in backend)
- AI ST Completion (Sublime Text 4 AI assistant plugin with Ollama support)
- Discord-Ollama Chat Bot (Generalized TypeScript Discord Bot w/ Tuning Documentation)
- ChatGPTBox: All in one browser extension with Integrating Tutorial
- Discord AI chat/moderation bot Chat/moderation bot written in python. Uses Ollama to create personalities.
- Headless Ollama (Scripts to automatically install ollama client & models on any OS for apps that depends on ollama server)
- Terraform AWS Ollama & Open WebUI (A Terraform module to deploy on AWS a ready-to-use Ollama service, together with its front end Open WebUI service.)
- node-red-contrib-ollama
- Local AI Helper (Chrome and Firefox extensions that enable interactions with the active tab and customisable API endpoints. Includes secure storage for user prompts.)
- vnc-lm (Discord bot for messaging with LLMs through Ollama and LiteLLM. Seamlessly move between local and flagship models.)
- LSP-AI (Open-source language server for AI-powered functionality)
- QodeAssist (AI-powered coding assistant plugin for Qt Creator)
- Obsidian Quiz Generator plugin
- AI Summmary Helper plugin
- TextCraft (Copilot in Word alternative using Ollama)
- Alfred Ollama (Alfred Workflow)
- TextLLaMA A Chrome Extension that helps you write emails, correct grammar, and translate into any language
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.