Sakura Launcher GUI provides a user-friendly graphical interface for managing and running Sakura LLM models. It simplifies the process of downloading models, managing llama.cpp versions, configuring settings, and launching inference servers, targeting users who want an accessible way to interact with these large language models.

How It Works

The application is built using PyQt-Fluent-Widgets for a modern UI and leverages Python for its core logic. It manages LLM operations by interacting with llama.cpp, handling model downloads, GPU detection (specifically NVIDIA VRAM usage), and providing a server-like interface for running models. This approach abstracts away complex command-line interactions, making LLM deployment more straightforward.

Quick Start & Requirements

• Install dependencies: pip install -r requirements.txt
• Run the application: python main.py
• Requires Python 3.x (3.12 recommended).
• Official User Manual: [Not linked in README]

Highlighted Details

• GPU management, including NVIDIA VRAM detection.
• Integrated model and llama.cpp download manager.
• Functionality for launching inference servers and performance testing.
• Model sharing capabilities via CLI and API.

Maintenance & Community

• Project is hosted on GitHub.
• No specific community links (Discord, Slack) or roadmap are provided in the README.

Licensing & Compatibility

• The README does not explicitly state a license.
• Based on projects like llama.cpp and PyQt-Fluent-Widgets, compatibility with commercial use would depend on the licenses of those underlying components and the explicit license of this project, which is not specified.

Limitations & Caveats

The README does not specify any limitations or known issues. The project appears to be focused on Windows, with specific utility functions for Windows GPU initialization.