---
title: "Ollama"
description: "A quick guide to setting up Ollama for local AI model execution with Cline."
---

### Prerequisites

-   Windows, macOS, or Linux computer
-   Cline installed in VS Code

### Setup Steps

#### 1. Install Ollama

-   Visit [ollama.com](https://ollama.com)
-   Download and install for your operating system

<Frame>
	<img
		src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(2)%20(1)%20(1).png"
		alt="Ollama download page"
	/>
</Frame>

#### 2. Choose and Download a Model

-   Browse models at [ollama.com/search](https://ollama.com/search)
-   Select model and copy command:

    ```bash
    ollama run [model-name]
    ```

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	<img
		src="https://storage.googleapis.com/cline_public_images/docs/assets/ollama-model-grab%20(2).gif"
		alt="Selecting a model in Ollama"
	/>
</Frame>

-   Open your Terminal and run the command:

    -   Example:

        ```bash
        ollama run llama2
        ```

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	<img
		src="https://storage.googleapis.com/cline_public_images/docs/assets/starting-ollama-terminal%20(2).gif"
		alt="Running Ollama in terminal"
	/>
</Frame>

Your model is now ready to use within Cline.

#### 3. Configure Cline

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	<img
		src="https://storage.googleapis.com/cline_public_images/docs/assets/ollama-setup.gif"
		alt="Complete Ollama setup process"
	/>
</Frame>

Open VS Code and configure Cline:

1. Click the Cline settings icon
2. Select "Ollama" as your API provider
3. Base URL: `http://localhost:11434/` (default, usually no need to change)
4. Select your model from the dropdown

### Recommended Models

For the best experience with Cline, use **Qwen 2.5 Coder 32B**. This model provides strong coding capabilities and reliable tool use for local development.

To download it:
```bash
ollama pull qwen2.5-coder:32b
```

Other capable models include:
- `mistral-small:latest` - Good balance of performance and speed
- `codellama:34b-code` - Optimized for coding tasks

### Important Notes

-   Start Ollama before using with Cline
-   Keep Ollama running in background
-   First model download may take several minutes

### Enable Compact Prompts

For better performance with local models, enable compact prompts in Cline settings. This reduces the prompt size by 90% while maintaining core functionality.

Navigate to Cline Settings → Features → Use Compact Prompt and toggle it on.

### Troubleshooting

If Cline can't connect to Ollama:

1. Verify Ollama is running
2. Check base URL is correct
3. Ensure model is downloaded

Need more info? Read the [Ollama Docs](https://github.com/ollama/ollama/blob/main/docs/api.md).
