# Ollama — Run LLMs Locally

> Run large language models locally on your machine. Supports Llama 3, Mistral, Gemma, Phi, and dozens more. One-command install, OpenAI-compatible API.

## Install

Save as a script file and run:

## Quick Use

```bash
# Install
curl -fsSL https://ollama.com/install.sh | sh

# Run a model
ollama run llama3.1
```

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## Intro

Ollama makes it dead simple to run open-source LLMs locally. Download and run Llama 3, Mistral, Gemma, Phi, CodeLlama, and 100+ other models with a single command. Includes an OpenAI-compatible API for easy integration.

**Best for**: Local AI development, privacy-sensitive workloads, offline coding, model experimentation
**Works with**: Any tool supporting OpenAI API format

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## Popular Models

| Model | Size | Use Case |
|-------|------|----------|
| `llama3.1:8b` | 4.7 GB | General purpose |
| `codellama:13b` | 7.4 GB | Code generation |
| `mistral:7b` | 4.1 GB | Fast, capable |
| `gemma2:9b` | 5.4 GB | Google's open model |
| `phi3:mini` | 2.3 GB | Small & efficient |
| `deepseek-coder-v2` | 8.9 GB | Code specialist |

## API

```bash
curl http://localhost:11434/api/chat -d '{
  "model": "llama3.1",
  "messages": [{"role": "user", "content": "Hello!"}]
}'
```

OpenAI-compatible endpoint at `http://localhost:11434/v1/`.

---



### FAQ

**Q: What is Ollama?**
A: Run large language models locally on your machine. Supports Llama 3, Mistral, Gemma, Phi, and dozens more. One-command install, OpenAI-compatible API.

**Q: How do I install Ollama?**
A: Check the Quick Use section above for step-by-step installation instructions. Most assets can be set up in under 2 minutes.

## Source & Thanks

> Created by [Ollama](https://github.com/ollama). Licensed under MIT.
> [ollama/ollama](https://github.com/ollama/ollama) — 120K+ GitHub stars

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Source: https://tokrepo.com/en/workflows/0eefb7ad-754e-4f35-8967-586ebf4c2a6a
Author: Script Depot