Summary
Alex Finn demonstrates a complete end-to-end setup of a Hermes Agent running entirely on a locally-hosted model — specifically Qwen 3.6 27B — on an Nvidia DGX Spark personal AI workstation. The result is a 24/7 AI agent that operates fully offline, with no cloud API costs and no data leaving the device, powered only by local compute.
The video walks through every stage of the process: configuring the DGX Spark, downloading and loading Qwen 3.6 27B into memory (approximately 20 minutes on the creator’s setup), verifying the model works via a custom-built front-end chat interface, and then connecting the local model to Hermes Agent for autonomous task execution. Finn positions Qwen 3.6 27B as the strongest local model currently available — competitive with recent frontier models from major labs while remaining fast and efficient at 27 billion parameters.
Beyond the setup tutorial, the video makes a broader case for local AI: zero per-token costs, complete privacy even when the internet is disconnected, customization through LoRA adapters, and the educational value of owning your own AI infrastructure. The video is Nvidia-sponsored (the creator notes he purchased the DGX Spark independently before the sponsorship), and is structured to serve both first-time local model users and experienced practitioners exploring Hermes Agent as a framework for private, sovereign AI deployment.
📺 Source: Alex Finn · Published May 13, 2026
🏷️ Format: Tutorial Demo
