Ollama Local Llm Runner Model Server

---
name: "Ollama Local LLM Runner and Model Server"
slug: "ollama-local-llm-runner-model-server"
description: "Ollama runs large language models locally with a simple CLI and REST API. It supports hundreds of open models including Llama, Gemma, Qwen, and DeepSeek, with GPU acceleration and an OpenAI-compatible API endpoint."
github_stars: 167878
verification: "security_reviewed"
source: "https://github.com/ollama/ollama"
category: "Developer Tools"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "ollama/ollama"
  github_stars: 167878
---

# Ollama Local LLM Runner and Model Server

Ollama runs large language models locally with a simple CLI and REST API. It supports hundreds of open models including Llama, Gemma, Qwen, and DeepSeek, with GPU acceleration and an OpenAI-compatible API endpoint.

## Installation

Use the upstream install or setup path that matches your environment:
- pip install ollama
- npm i ollama

Requirements and caveats from upstream:
- ### Docker
- The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) ollama/ollama is available on Docker Hub.
- [ollama-python](https://github.com/ollama/ollama-python)

Basic usage or getting-started notes:
- You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code, OpenClaw, OpenCode , Codex, Copilot, and more.
- Run and chat with [Gemma 3](https://ollama.com/library/gemma3):
- ollama run gemma3

- Source: https://github.com/ollama/ollama
- Extracted from upstream docs: https://raw.githubusercontent.com/ollama/ollama/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/ollama-local-llm-runner-model-server/)