This project provides a user-friendly, desktop application for running local Large Language Models (LLMs) like Alpaca and LLaMA. It targets users who want to experiment with LLMs without command-line interfaces or complex setup, offering a simple installer and a familiar chat UI.

How It Works

Alpaca Electron leverages the llama.cpp library as its backend, enabling efficient execution of LLMs on CPU. This approach avoids the need for expensive GPUs, making LLM inference accessible to a broader audience. The application bundles all necessary llama.cpp binaries, simplifying deployment and eliminating external dependency management for the end-user.

Quick Start & Requirements

• Install: Download the latest installer from the releases page.
• Prerequisites: A downloaded Alpaca model file (e.g., 7B GGUF format).
• Setup: Run the installer, then provide the path to your downloaded model file.
• Note: Windows is the primary supported OS for pre-built binaries. Linux and macOS support are available via source build or Docker.

Highlighted Details

• CPU-only inference, no GPU required.
• Bundles llama.cpp for efficient local LLM execution.
• Installer-based setup for Windows.
• Cross-platform support via Docker or source compilation.

Maintenance & Community

The project acknowledges contributions from the creators of llama.cpp and alpaca.cpp. Community support is primarily through GitHub Issues.

Licensing & Compatibility

The project's licensing is not explicitly stated in the README. However, it relies on llama.cpp, which is released under the MIT license. Compatibility for commercial use depends on the underlying model licenses and llama.cpp's MIT license.

Limitations & Caveats

GPU acceleration (cuBLAS, openBLAS) is not yet implemented. Features like chat history and web integration are on the to-do list. Windows is the only officially supported platform for pre-built installers; other platforms require manual building or Docker.