automatically quant GGUF models
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README.md

AutoGGUF - automated GGUF model quantizer

This application provides a graphical user interface for quantizing GGUF models using the llama.cpp library. It allows users to download different versions of llama.cpp, manage multiple backends, and perform quantization tasks with various options.

Main features:

  1. Download and manage llama.cpp backends
  2. Select and quantize GGUF models
  3. Configure quantization parameters
  4. Monitor system resources during quantization

Usage:

  1. Install dependencies, either using the requirements.txt file or pip install PyQt6 requests psutil.
  2. Run the run.bat script to start the application, or run the command python src/main.py.

Dependencies:

  • PyQt6
  • requests
  • psutil

To be implemented:

  • Actual progress bar tracking
  • Download safetensors from HF and convert to unquanted GGUF
  • Specify multiple KV overrides

User interface: image