Integrate Open-Source LLM with Hugging Face for Chat Automation
Automate chat responses using an open-source language model from Hugging Face, integrated with n8n's Basic LLM Chain. Customize the model and prompts to suit your needs.
This workflow facilitates the integration of an open-source language model via Hugging Face with n8n's Basic LLM Chain to automate chat responses. It is triggered by new chat messages and processes them using a predefined prompt to guide the model's output. The default model used is Mistral-7B-Instruct-v0.1, but it can be replaced with any other supported LLM. This setup is ideal for creating a responsive chat assistant that can be tailored with different models and prompts. Note that smaller parameter models may require more detailed prompts for effective guidance.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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