> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/integrations/langchain/chat-models/chatollama.md).

# ChatOllama

## Prerequisite

1. Download [Ollama](https://github.com/ollama/ollama) or run it on [Docker.](https://hub.docker.com/r/ollama/ollama)
2. For example, you can use the following command to spin up a Docker instance with llama3

   ```bash
   docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
   docker exec -it ollama ollama run llama3
   ```

## Setup

1. **Chat Models** > drag **ChatOllama** node

<figure><img src="/files/wZz0cvWC4o84l2rv2t0z" alt="" width="563"><figcaption></figcaption></figure>

2. Fill in the model that is running on Ollama. For example: `llama2`. You can also use additional parameters:

<figure><img src="/files/OqZWCQ0sGXYFERxkOeHH" alt=""><figcaption></figcaption></figure>

3. Voila [🎉](https://emojipedia.org/party-popper/), you can now use **ChatOllama node** in Flowise

<figure><img src="/files/uux976UKmIkQiyB4Lrh8" alt=""><figcaption></figcaption></figure>

### Running on Docker

If you are running both Flowise and Ollama on docker. You'll have to change the Base URL for ChatOllama.

For Windows and MacOS Operating Systems specify [http://host.docker.internal:8000](http://host.docker.internal:8000/). For Linux based systems the default docker gateway should be used since host.docker.internal is not available: [http://172.17.0.1:8000](http://172.17.0.1:8000/)

<figure><img src="/files/SQrgpVZRBmWexKdOSu8k" alt="" width="292"><figcaption></figcaption></figure>

## Ollama Cloud

1. Create an [API key](https://ollama.com/settings/keys) on **ollama.com**.
2. In Flowise, click **Create Credential** and select **Ollama API**, and enter your API Key.

<figure><img src="/files/TSjmdQEncAgwhV2Pf3FB" alt="" width="435"><figcaption></figcaption></figure>

3. Then, set the **Base URL** to `https://ollama.com`
4. Enter the models that are available on Ollama Cloud.

<figure><img src="/files/f0GdJV5xGqpeCnZYVHMt" alt="" width="394"><figcaption></figcaption></figure>

## Resources

* [LangchainJS ChatOllama](https://js.langchain.com/docs/integrations/chat/ollama)
* [Ollama](https://github.com/ollama/ollama)