n8n AI Data Management Engineering
Contributed by Sabrina Ramonov 🍄. From the community directory at agents.sabrina.dev, republished with permission and full credit.
Local Multi-LLM Testing & Performance Tracker
This workflow is perfect for developers, researchers, and data scientists benchmarking multiple LLMs with LM Studio.
It dynamically fetches active models, tests prompts, and tracks metrics like word count, readability, and response time, logging results into Google Sheets. Easily adjust temperature and top P for flexible model testing.
Level of Effort:
Easy, Minimal setup with customizable options.
Setup Steps:
- Install LM Studio and configure models.
- Update IP to connect to LM Studio.
- Create a Google Sheet for result tracking.
Key Outcomes:
- Benchmark LLM performance.
- Automate results in Google Sheets for easy comparison.
Tools used: Google Sheets
Download the workflow template (JSON)
Want this running in your business? KOBA42 builds and operates automations like this one.