---
title: Ollama Chat Model node documentation
description: Learn how to use the Ollama Chat Model node in n8n. Follow technical documentation to integrate Ollama Chat Model node into your workflows.
contentType: [integration, reference]
priority: high
---

# Ollama Chat Model node

The Ollama Chat Model node allows you use local Llama 2 models with conversational [agents](/glossary.md#ai-agent).

On this page, you'll find the node parameters for the Ollama Chat Model node, and links to more resources.

/// note | Credentials
You can find authentication information for this node [here](/integrations/builtin/credentials/ollama.md).
///

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## Node parameters

* **Model**: Select the model that generates the completion. Choose from:
	* **Llama2**
	* **Llama2 13B**
	* **Llama2 70B**
	* **Llama2 Uncensored**

Refer to the Ollama [Models Library documentation](https://ollama.com/library) for more information about available models.

## Node options

* **Sampling Temperature**: Use this option to control the randomness of the sampling process. A higher temperature creates more diverse sampling, but increases the risk of hallucinations.
* **Top K**: Enter the number of token choices the model uses to generate the next token.
* **Top P**: Use this option to set the probability the completion should use. Use a lower value to ignore less probable options. 

## Templates and examples

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[[ templatesWidget(page.title, 'ollama-chat-model') ]]

## Related resources

Refer to [LangChains's Ollama Chat Model documentation](https://js.langchain.com/docs/integrations/chat/ollama/) for more information about the service.

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## Common issues

For common questions or issues and suggested solutions, refer to [Common issues](/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatollama/common-issues.md).



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