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.

n8n
Integrate Open-Source LLM with Hugging Face for Chat Automation

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.

$4.99
Last updated August 29, 2026
30-day money-back guarantee
Instant download
Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

Secure checkout powered by Stripe

Support

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

Related AI workflows

More from Ahmed Hassan

Need this deployed? We'll set it up for you.

Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.