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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.

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