Alpaca-Turbo  by ViperX7

Web UI for local LLM inference

Created 2 years ago
871 stars

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Project Summary

Alpaca-Turbo provides a user-friendly web UI for running large language models locally, specifically leveraging the llama.cpp backend. It targets users seeking a seamless, easy-to-configure chat experience without compromising on speed or functionality, offering a streamlined alternative to other llama.cpp frontends.

How It Works

Alpaca-Turbo acts as a frontend to llama.cpp, enabling local execution of LLMs. It focuses on simplifying the setup and interaction process, aiming for a high-quality chat experience. The project's design prioritizes ease of use and configuration, differentiating it from other implementations by offering a more integrated and accessible user interface.

Quick Start & Requirements

  • Installation: Download the latest release zip, extract it, place models in the models/ directory, and run pip install -r requirements.txt followed by python app.py within a conda environment.
  • Prerequisites: Python 3.10, conda (recommended for environment management), and LLM models compatible with llama.cpp.
  • Docker: Supported on Linux.
  • Windows/Mac: A standalone .exe is available for Windows; Miniconda is recommended for both Windows and Mac M1/M2.
  • Resources: Requires sufficient disk space for models.
  • Documentation: Video instructions are mentioned as "ToDo".

Highlighted Details

  • User-friendly web UI for local LLM execution.
  • Built upon the llama.cpp backend for performance.
  • Offers a streamlined chat experience with easy configuration.
  • Standalone Windows executable available.

Maintenance & Community

The project is open to contributions for features, infrastructure, and documentation. Credits are given to ggerganov/LLaMA.cpp, antimatter15/alpaca.cpp, and MetaAI/Stanford for models.

Licensing & Compatibility

The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

Docker support is limited to Linux. Detailed installation instructions and video guides are marked as "ToDo". The project's history section is also incomplete.

Health Check
Last Commit

2 years ago

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Inactive

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