---
title: "Ollama Local LLM Runner and 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."
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

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

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