A CLI tool to manage and recommend machine learning models based on system GPU and memory.
Project description
Solo CLI
A CLI tool to manage and execute LLaMA files.
🌟 Features
- Initialize and download models
- Pull specific models by name
- Quickstart to execute a default model
- Serve models on the internet using ngrok
- Start models with specific configurations
🚀 Getting Started
Prerequisites
- Python 3.7 or higher
- Pip (Python package installer)
- ngrok account (optional, for serving models)
Installation
Install the package using pip:
pip install solo-cli
Usage
solo-cli init
solo-cli pull model_name
solo-cli quickstart
solo-cli serve --port 8080
solo-cli start model_name --port 8080
📖 Examples
Initialize
solo-cli init
Pull a Model
solo-cli pull llava-v1.5-7b-q4
Quickstart
solo-cli quickstart
Serve a Model
solo-cli serve --port 8080
Start a Model
solo-cli start llava-v1.5-7b-q4 --port 8080
📦 Dependencies
Typer Requests tqdm ngrok
🗺️ Roadmap
Add support for more models Improve error handling Add more configuration options
🤝 Contribution
Contributions are welcome! Please open an issue or submit a pull request on GitHub.
Project details
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