Deploy GPT4All
Run open-source LLMs locally on your CPU and GPU. No internet required.
⭐ 65.0k stars📜 Apache License 2.0🔴 Advanced⏱ ~20 minutes
What You’ll Get
A fully working GPT4All instance running on your server. Your data stays on your hardware — no third-party access, no usage limits, no surprise invoices.
Prerequisites
- A server with Docker and Docker Compose installed (setup guide)
- A domain name pointed to your server (optional but recommended)
- Basic terminal access (SSH)
The Config
Create a directory for GPT4All and add this docker-compose.yml:
# -------------------------------------------------------------------------
# 🚀 Created and distributed by The AltStack
# 🌍 https://thealtstack.com
# -------------------------------------------------------------------------
# Docker Compose for GPT4All
version: '3.8'
services:
gpt4all:
build:
context: .
dockerfile: Dockerfile
container_name: gpt4all-server
ports:
- "4891:4891"
volumes:
- gpt4all_models:/app/models
networks:
- gpt4all_net
healthcheck:
test: [ "CMD", "curl", "-f", "http://localhost:4891/v1/models" ] # GPT4All local API endpoint
interval: 30s
timeout: 10s
retries: 3
restart: unless-stopped
networks:
gpt4all_net:
driver: bridge
volumes:
gpt4all_models:
name: gpt4all_modelsLet’s Ship It
# Create a directory
mkdir -p /opt/gpt4all && cd /opt/gpt4all
# Create the docker-compose.yml (paste the config above)
nano docker-compose.yml
# Pull images and start
docker compose up -d
# Watch the logs
docker compose logs -fPost-Deployment Checklist
- Service is accessible on the configured port
- Admin account created (if applicable)
- Reverse proxy configured (Caddy guide)
- SSL/HTTPS working
- Backup script set up (backup guide)
- Uptime monitor added (Uptime Kuma)
The “I Broke It” Section
Container won’t start?
docker compose logs gpt4all | tail -50Port already in use?
# Find what's using the port
lsof -i :PORT_NUMBERNeed to start fresh?
docker compose down -v # ⚠️ This deletes volumes/data!
docker compose up -d