> ## Documentation Index
> Fetch the complete documentation index at: https://legacydocs.waveterm.dev/llms.txt
> Use this file to discover all available pages before exploring further.
# Ollama
> Get Ollama up and running in Wave AI
As of September 2024, this version of Wave Terminal is deprecated. To learn more about our new version (>=v0.8.0), check out [www.waveterm.dev](https://www.waveterm.dev). To find documentation for our new version, check out [docs.waveterm.dev](https://docs.waveterm.dev).
[Ollama](https://ollama.com/) is an open-source language model that offers a powerful and flexible alternative to proprietary LLMs, allowing you to run the model locally or on your own server infrastructure. Ollama provides high-quality language generation and understanding capabilities while giving you full control over your data and privacy.
To see a full list of supported LLM providers, please visit the [Third-Party LLM Support](/features/waveAI#third-party-llm-support-byollm) section in the Wave AI features page.
## Installation
Please visit Ollama's [GitHub](https://github.com/ollama/ollama?tab=readme-ov-file) page for instructions on downloading and installing Ollama, as well as a quickstart guide and a full list of supported models.
## Configuration
After installing and configuring Ollama, you can start using it in Wave by setting two parameters: `aibaseurl` and `aimodel`. These parameters can be set either through the UI or from the command line, but please note that the parameter names are slightly different depending on the method you choose.
### **Parameters**
* **AI Base URL:** Set this parameter to the base URL or endpoint that Wave AI should query. For Ollama running locally, use [http://localhost:11434/v1](http://localhost:11434/v1). Please note that the port number `11434` may be different depending on your specific installation. For remote Ollama instances, replace `localhost` with the appropriate hostname or IP address of the server where Ollama is running. If the port number is different from the default `11434`, update it accordingly in the URL.
* **AI Model**: Specify the Ollama model you want to use. This can be any "pulled" model in Ollama and doesn't need to be actively running. To discover available models, use the `ollama list` command in your terminal.
### Configuring via the UI
To configure Ollama from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
### Configuring via the CLI
To configure Ollama using the command line, set the `aibaseurl` and `aimodel` parameters using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.
```
/client:set aibaseurl=
/client:set aimodel=
```
## Usage
Once you have installed and configured Ollama, you can start using it in Wave. There are two primary ways to interact with your newly configured LLM: [Interactive Mode](/features/waveAI#interactive) and by using the [/chat](/features/waveAI#chat-command) command.
* **Interactive Mode:** To enter Interactive Mode, click the "Wave AI" button in the command box or use the `ctrl + space` shortcut. This will open an interactive chat session where you can have a continuous conversation with the AI assistant powered by your Ollama model.
* **/chat:** Alternatively, you can use the [/chat](/features/waveAI#chat-command) command followed by your question to get a quick answer from your Ollama model directly in the terminal.
## Troubleshooting
If you encounter issues while using Ollama with Wave AI, consider the following troubleshooting steps:
* **Connection failures:** If Wave AI fails to connect to Ollama or returns an error message, [verify that Ollama is running](https://github.com/ollama/ollama?tab=readme-ov-file#rest-api) and accessible from the system where Wave is installed. Check the Ollama logs for any error messages or indications of why the connection might be failing.
* **Timeouts:** If you're unable to complete a query or incur frequent timeouts, try adjusting the `aitimeout` parameter to a higher value. This will give Ollama more time to process and respond to your requests, especially if you are running it on a system with limited hardware resources.
* **Incorrect base URL or port:** Ensure that the `aibaseurl` parameter points to the correct URL and port number where Ollama is running. If you have changed the default port or are running Ollama on a remote server, update the URL accordingly.
* **Incorrect model selection:** If you have multiple Ollama models installed, make sure to set the `aimodel` parameter to the specific model you want to use. You can list available models using the ollama list command in your terminal.
* **Unexpected behavior or inconsistent results:** If you encounter unexpected behavior or inconsistent results when using Ollama with Wave AI, try [resetting](#reset-wave-ai) the `aibaseurl` and `aimodel` parameters to their default values and reconfiguring Ollama from scratch. This can help rule out any configuration issues that might be causing problems.
If you continue to face issues after trying these troubleshooting steps, please see the [Additional Resources](#additional-resources) section below for further assistance, or feel free to reach out to us on [Discord](https://discord.gg/XfvZ334gwU).
## Reset Wave AI
At any time if you find that you wish to return to the default Wave AI experience, you can reset the `aibaseurl` and `aimodel` parameters to their default state by using the following commands.
```
/client:set aibaseurl=
/client:set aimodel=
```
**Note:** This can also be done in the UI just as described in previous steps.
## Additional Resources
* [Ollama Website](https://ollama.com/)
* [Ollama GitHub Page](https://github.com/ollama/ollama?tab=readme-ov-file)
* [Ollama Support (Discord)](https://discord.com/invite/ollama)