license: cc-by-nc-4.0
inference: false
pipeline_tag: text-generation
tags:
- gguf
- quantized
- text-generation-inference
Simple python script (gguf-imat.py) to generate various GGUF-IQ-Imatrix quantizations from a Hugging Face author/model input, for Windows and NVIDIA hardware.
This is setup for a Windows machine with 8GB of VRAM, assuming use with an NVIDIA GPU. If you want to change the the -ngl (number of GPU layers) amount, you can do so at line 120. This is only relevant during the --imatrix data generation. If you don't have enough VRAM you can decrease the -ngl amount or set it to 0 to only use your System RAM instead for all layers.
Your imatrix.txt is expected to be located inside the imatrix folder. Included file is considered a good option, this discussion is where it came from.
Adjust quantization_options in line 133.
Requirements:
- Python 3.11
pip install huggingface_hub
Usage:
python .\gguf-imat.py
Quantizations will be output into the created models\{model-name}-GGUF folder.
If this proves useful for you, feel free to credit and share the repository.