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    ollama

    ollama/ollama

    Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

    llm
    deepseek
    gemma
    gemma3
    glm
    go
    golang
    gpt-oss
    llama
    llama3
    llms
    minimax
    mistral
    ollama
    qwen
    Go
    MIT
    165.2K stars
    15.0K forks
    165.2K watching
    Updated 3/15/2026
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    About ollama

      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 Gemma 3:

    ollama run gemma3

    Model library

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

    Here are some example models that can be downloaded:

    ModelParametersSizeDownload
    Gemma 31B815MBollama run gemma3:1b
    Gemma 34B3.3GBollama run gemma3
    Gemma 312B8.1GBollama run gemma3:12b
    Gemma 327B17GBollama run gemma3:27b
    QwQ32B20GBollama run qwq
    DeepSeek-R17B4.7GBollama run deepseek-r1
    DeepSeek-R1671B404GBollama run deepseek-r1:671b
    Llama 4109B67GBollama run llama4:scout
    Llama 4400B245GBollama run llama4:maverick
    Llama 3.370B43GBollama run llama3.3
    Llama 3.23B2.0GBollama run llama3.2
    Llama 3.21B1.3GBollama run llama3.2:1b
    Llama 3.2 Vision11B7.9GBollama run llama3.2-vision
    Llama 3.2 Vision90B55GBollama run llama3.2-vision:90b
    Llama 3.18B4.7GBollama run llama3.1
    Llama 3.1405B231GBollama run llama3.1:405b
    Phi 414B9.1GBollama run phi4
    Phi 4 Mini3.8B2.5GBollama run phi4-mini
    Mistral7B4.1GBollama run mistral
    Moondream 21.4B829MBollama run moondream
    Neural Chat7B4.1GBollama run neural-chat
    Starling7B4.1GBollama run starling-lm
    Code Llama7B3.8GBollama run codellama
    Llama 2 Uncensored7B3.8GBollama run llama2-uncensored
    LLaVA7B4.5GBollama run llava
    Granite-3.38B4.9GBollama run granite3.3

    [!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"

    Output: 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)"

    Output: 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
    • SwiftChat (macOS with ReactNative)
    • Enchanted (macOS native)
    • Hollama
    • Lollms-Webui
    • LibreChat
    • Bionic GPT
    • HTML UI
    • Saddle
    • TagSpaces (A platform for file-based apps, utilizing Ollama for the generation of tags and descriptions)
    • 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)
    • Jirapt (Jira Integration to generate issues, tasks, epics)
    • ojira (Jira chrome plugin to easily generate descriptions for tasks)
    • 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)
    • Casibase (An open source AI knowledge base and dialogue system combining the latest RAG, SSO, ollama support, and multiple large language models.)
    • 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.
    • Cline - Formerly known as Claude Dev is a 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 and deep research 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)
    • chat-ollama (a React Native 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)
    • Ollama Chat WebUI for Docker (Support for local docker deployment, lightweight ollama webui)
    • AI Toolkit for Visual Studio Code (Microsoft-official VSCode extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.)
    • MinimalNextOllamaChat (Minimal Web UI for Chat and Model Control)
    • Chipper AI interface for tinkerers (Ollama, Haystack RAG, Python)
    • ChibiChat (Kotlin-based Android app to chat with Ollama and Koboldcpp API endpoints)
    • LocalLLM (Minimal Web-App to run ollama models on it with a GUI)
    • Ollamazing (Web extension to run Ollama models)
    • OpenDeepResearcher-via-searxng (A Deep Research equivalent endpoint with Ollama support for running locally)
    • AntSK (Out-of-the-box & Adaptable RAG Chatbot)
    • MaxKB (Ready-to-use & flexible RAG Chatbot)
    • yla (Web interface to freely interact with your customized models)
    • LangBot (LLM-based instant messaging bots platform, with Agents, RAG features, supports multiple platforms)
    • 1Panel (Web-based Linux Server Management Tool)
    • AstrBot (User-friendly LLM-based multi-platform chatbot with a WebUI, supporting RAG, LLM agents, and plugins integration)
    • Reins (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.)
    • Flufy (A beautiful chat interface for interacting with Ollama's API. Built with React, TypeScript, and Material-UI.)
    • Ellama (Friendly native app to chat with an Ollama instance)
    • screenpipe Build agents powered by your screen history
    • Ollamb (Simple yet rich in features, cross-platform built with Flutter and designed for Ollama. Try the web demo.)
    • Writeopia (Text editor with integration with Ollama)
    • AppFlowy (AI collaborative workspace with Ollama, cross-platform and self-hostable)
    • Lumina (A lightweight, minimal React.js frontend for interacting with Ollama servers)
    • Tiny Notepad (A lightweight, notepad-like interface to chat with ollama available on PyPI)
    • macLlama (macOS native) (A native macOS GUI application for interacting with Ollama models, featuring a chat interface.)
    • GPTranslate (A fast and lightweight, AI powered desktop translation application written with Rust and Tauri. Features real-time translation with OpenAI/Azure/Ollama.)
    • ollama launcher (A launcher for Ollama, aiming to provide users with convenient functions such as ollama server launching, management, or configuration.)
    • ai-hub (AI Hub supports multiple models via API keys and Chat support via Ollama API.)
    • Mayan EDMS (Open source document management system to organize, tag, search, and automate your files with powerful Ollama driven workflows.)
    • Serene Pub (Beginner friendly, open source AI Roleplaying App for Windows, Mac OS and Linux. Search, download and use models with Ollama all inside the app.)
    • Andes (A Visual Studio Code extension that provides a local UI interface for Ollama models)

    Cloud

    Terminal

    Apple Vision Pro

    • SwiftChat (Cross-platform AI chat app supporting Apple Vision Pro via "Designed for iPad")
    • Enchanted

    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

    • SwiftChat (Lightning-fast Cross-platform AI chat app with native UI for Android, iOS, and iPad)
    • 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)
    • Ollama Android Chat (No need for Termux, start the Ollama service with one click on an Android device)
    • Reins (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.)

    Extensions & Plugins

    Supported backends

    • llama.cpp project founded by Georgi Gerganov.

    Observability

    • Opik is an open-source platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. Opik supports native intergration to Ollama.
    • Lunary is the leading open-source LLM observability platform. It provides a variety of enterprise-grade features such as real-time analytics, prompt templates management, PII masking, and comprehensive agent tracing.
    • 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.
    • MLflow Tracing is an open source LLM observability tool with a convenient API to log and visualize traces, making it easy to debug and evaluate GenAI applications.

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