Community Contributed LLM Example (Unverified)

Name: Community Contributed LLM Example (Unverified)
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Author: Free N8N

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Community Contributedaiexamplehuggingfacellmmistralopenaiunverified

Demonstrates using an open-source LLM with a basic chain.

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About This Workflow

Overview

This workflow showcases a basic Large Language Model (LLM) chain connected to an open-source model. It provides an example of how to integrate with models like Mistral-7B-Instruct-v0.1 via Hugging Face Inference.

Key Features

Connects to an open-source LLM (Mistral-7B-Instruct-v0.1).
Uses a basic prompt to guide LLM responses.
Demonstrates Hugging Face Inference node integration.
Includes error handling.

How To Use

Import this workflow into your n8n instance.
Configure the Hugging Face API credentials in the 'Hugging Face Inference Model' node.
Adjust the maxTokens parameter in the 'Hugging Face Inference Model' node as needed.
You can modify the initial prompt in the 'Basic LLM Chain' node to change the LLM's behavior.

Apps Used

example

huggingface

llm

mistral

openai

unverified

Workflow JSON

{
  "id": "1163bc7c-6f67-4f1d-bf32-511857f2de37",
  "name": "Community Contributed LLM Example (Unverified)",
  "nodes": 0,
  "category": "Community Contributed",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.