LMStudio Docker Deployment
This repository contains the necessary files to run LMStudio, an application for language model interaction, within a Docker container. The setup includes configuration files for both the entry point script, health check, Docker Compose file, Dockerfile, and HTTP server configuration.
Introduction
LMStudio is a tool designed for interacting with language models, providing a seamless experience through a web interface. This setup uses Docker to containerize the application and deployment tools like Docker Compose for easy management of multiple containers.
Prerequisites
Before you begin, ensure that your system meets the following requirements:
- Docker installed on your machine.
- Docker Compose (usually included with Docker Engine).
- A suitable environment to run the LMStudio container (e.g., a Linux server or local machine capable of running Docker containers).
Getting Started
- Clone this repository to your local machine:
git clone https://github.com/n0mer1/lmstudio-docker.git LMStudio cd LMStudio - Review the
docker-compose.ymlfile to ensure it meets your requirements. Adjust any environment variables or paths as necessary. - Download the LMStudio installer:
wget https://installers.lmstudio.ai/linux/x64/0.3.14-5/LM-Studio-0.3.14-5-x64.AppImage - Build and run the Docker containers using:
docker-compose up -d --build
Configuration
Configuration settings are managed via environment variables and configuration files as follows:
- Environment Variables: Set these in the Docker Compose file or directly in the
.envfile if used.CONTEXT_LENGTH: Defines the context length for model interactions.MODEL_PATH: Path to the specific language model to be loaded.MODEL_IDENTIFIER: Identifier for the loaded model.
Running the Services
To start the services defined in docker-compose.yml, use the following command from the project directory:
docker-compose up -d
This command will run the containers in detached mode, allowing you to continue using your terminal without interruption.
To stop the services, use:
docker-compose down
Troubleshooting
If you encounter issues during setup or usage:
- Check the logs for errors:
docker-compose logs -f lmstudio - Ensure all required environment variables are set correctly in the Docker Compose file or
.envfile. - Verify that the container is running:
docker ps
Contributing
Contributions to this project are welcome. Please open an issue for bugs or feature requests and submit a pull request with proposed changes. For major changes, please discuss them in advance.