LocalAI

LocalAI

Official

Docker app from grtgbln's Repository

Overview

The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities. Additional image variants are also available: https://localai.io/basics/container/#standard-container-images For Nvidia GPU support, add "--gpus all" to the Extra Parameters field under Advanced. For AMD GPU support, add "/dev/kfd" and "/dev/dri" each as a Device and add the required Variables: https://localai.io/features/gpu-acceleration/#setup-example-dockercontainerd For Intel iGPU support, add "/dev/dri" as a Device and add "--device=/dev/dri" to the Extra Parameters field under Advanced.

Requirements


        The images for this container are several gigabytes (standard images upwards of ~17 GB, AIO images upwards of ~40 GB).
        If you receive a "no space left on device" warning during installation, please increase the vDisk size in your Docker settings.
        Additional image variants are also available: https://localai.io/basics/container/#standard-container-images
    

Runtime arguments

Web UI
http://[IP]:[PORT:8080]/
Network
bridge
Shell
bash
Privileged
false
Extra Params
--gpus=all

Template configuration

WebUIPorttcp

Container Port: 8080

Target
8080
Default
8080
Value
8080
Debug modeVariable

Whether to enable debug mode

Target
DEBUG
Default
true|false
Model Storage PathPathrw

Storage for models

Target
/build/models
Default
/mnt/user/appdata/local_ai/models
Value
/mnt/user/appdata/local_ai/models

Download Statistics

3,864,979
Total Downloads
669,557
This Month
340,158
Avg / Month

Total Downloads Over Time

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Details

Repository
localai/localai:latest
Last Updated2026-05-28
First Seen2024-04-21

Run LocalAI on Unraid.

LocalAI is listed in Community Apps for Unraid OS. Explore Unraid to build a flexible home server, NAS, or homelab.