How do I self-host Meta Llama 3.1?

Meta Llama 3.1 can be deployed using Docker Compose. The AltStack provides a production-ready configuration that you can deploy on your own server. Simply copy the configuration and run it on any machine with Docker installed.

What are the system requirements for self-hosting Meta Llama 3.1?

The recommended hardware for Meta Llama 3.1 is: 8GB VRAM (8B), 40GB+ VRAM (70B), 800GB+ VRAM (405B). Actual requirements may vary based on usage volume and data size.

Is Meta Llama 3.1 free to self-host?

Yes, Meta Llama 3.1 is open source under the Llama 3.1 Community License and free to self-host. Your only costs are the server infrastructure. A basic cloud VPS starts at around $5-10/month.

What programming language is Meta Llama 3.1 built with?

Meta Llama 3.1 is built with Python. It has 29,184 stars on GitHub, indicating strong community adoption and support.

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Deploy Meta Llama 3.1

Meta's flagship open-weight model with 128K context. Supports 8B, 70B, and 405B parameters.

Quick Start

Create a directory

mkdir llama-self-hosted && cd llama-self-hosted

Create config file

Copy the content from the Config tab below into a file named docker-compose.yml

Deploy

docker compose up -d

Fast Track

Deploy Meta Llama 3.1 in Minutes

Use our optimized Docker templates to deploy Meta Llama 3.1 on any cloud provider. Get $200 in free credit to start on DigitalOcean.

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$200

Metadata

License

Llama 3.1 Community License

Language

Python

Last Updated

1/26/2025

Configuration

yaml

services:
  ollama:
    image: ollama/ollama:latest
    container_name: ollama-llama
    restart: unless-stopped
    ports:
      - "11434:11434"
    volumes:
      - ollama_data:/root/.ollama
    # Uncomment for GPU support:
    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: all
    #           capabilities: [gpu]
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:11434"]
      interval: 30s
      timeout: 10s
      retries: 3
    entrypoint: ["/bin/sh", "-c", "ollama serve & sleep 5 && ollama pull llama3.1 && wait"]

volumes:
  ollama_data:

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