LLM Docker Starter 🚀

Welcome to the LLM Docker Starter repository! This project serves as a starting point for anyone looking to work with Docker and Docker Compose for deploying machine learning models. Whether you're a beginner or an experienced developer, this repository provides the essential tools to get you started quickly and efficiently.

Table of Contents

• Introduction
• Features
• Getting Started
• Usage
• Folder Structure
• Contributing
• License
• Contact

Introduction

The LLM Docker Starter project simplifies the process of setting up a Docker environment for large language models (LLMs). It provides a clear structure and easy-to-follow instructions to help you deploy your models without hassle.

Features

• Easy Setup: Quickly set up a Docker environment with pre-configured settings.
• Docker Compose: Use Docker Compose to manage multi-container applications effortlessly.
• Scalability: Easily scale your applications as needed.
• Compatibility: Works well with various machine learning frameworks.
• Documentation: Comprehensive documentation to guide you through the setup and usage.

Getting Started

To get started with the LLM Docker Starter, follow these steps:

1. Clone the Repository:

   git clone https://github.com/SSHprogrammer/llm-docker-starter.git
   cd llm-docker-starter

2. Download the Latest Release: Visit the Releases section to download the latest version. Make sure to download the appropriate file for your system.

3. Run the Setup: After downloading, execute the setup script to configure your environment:

   ./setup.sh

Usage

Once you have set up your environment, you can start using the Docker containers. Here’s how to run the application:

1. Start the Docker Containers: Use Docker Compose to start the containers:

   docker-compose up

2. Access the Application: After the containers are running, access the application through your web browser at http://localhost:8000.

3. Stopping the Containers: To stop the containers, simply run:

   docker-compose down

Folder Structure

Here’s a brief overview of the folder structure:

llm-docker-starter/
│
├── docker-compose.yml
├── Dockerfile
├── setup.sh
├── src/
│   ├── model/
│   ├── scripts/
│   └── requirements.txt
└── README.md

• docker-compose.yml: Configuration file for Docker Compose.
• Dockerfile: Instructions for building the Docker image.
• setup.sh: Script to set up the environment.
• src/: Contains the source code, models, and scripts.

Contributing

We welcome contributions! If you want to help improve this project, follow these steps:

1. Fork the Repository.
2. Create a New Branch:

   git checkout -b feature/YourFeature

3. Make Your Changes.
4. Commit Your Changes:

   git commit -m "Add Your Feature"

5. Push to Your Branch:

   git push origin feature/YourFeature

6. Open a Pull Request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or suggestions, feel free to reach out:

• GitHub: SSHprogrammer
• Email: sshprogrammer@example.com

Conclusion

Thank you for checking out the LLM Docker Starter! We hope this project helps you kickstart your journey in deploying machine learning models with Docker.

Remember to check the Releases section for the latest updates and releases. Happy coding!