LM-Studio-Headless

LM-Studio-Headless

Docker app from M2Pilot's Repository

Overview

Headless LM Studio (llmster deployment) backend utilizing local hardware layer mappings and CUDA bindings for high-throughput local LLM execution on NVIDIA GPUs.

Install LM-Studio-Headless on Unraid in a few clicks.

Find LM-Studio-Headless in Community Apps on your Unraid server, review the template, and click Install. Unraid handles the Docker app or plugin setup from the published template.

Open the Apps tab on your Unraid server Search Community Apps for LM-Studio-Headless Review the template variables and paths Click Install
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Categories

AITools > UtilitiesPrivateCloud

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Links

Supportgithub.comDocker Hubhub.docker.comTemplateraw.githubusercontent.com

Details

Repository
MarkSupinski/lm-studio-headless:latest
Registry
https://hub.docker.com/r/MarkSupinski/lm-studio-headless
Last Updated2026-07-06
First Seen2026-06-13