--- license: cc-by-nc-4.0 inference: false pipeline_tag: text-generation tags: - gguf - quantized - text-generation-inference --- **GGUF-IQ-Imatrix-Quantization-Script:**  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 `-ngl` (number of GPU layers) amount, you can do so at [**line 120**](https://huggingface.co/FantasiaFoundry/GGUF-Quantization-Script/blob/main/gguf-imat.py#L120). 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, this will make the imatrix data generation take longer, so it's a good idea to find the number that gives your own machine the best results. Your `imatrix.txt` is expected to be located inside the `imatrix` folder. I have already included a file that is considered a good starting option, [this discussion](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) is where it came from. If you have suggestions or other imatrix data to recommend, please do so. Adjust `quantization_options` in [**line 133**](https://huggingface.co/FantasiaFoundry/GGUF-Quantization-Script/blob/main/gguf-imat.py#L133). **Hardware:** - NVIDIA GPU with 8GB of VRAM. - 32GB of system RAM. **Software Requirements:** - Git - Python 3.11 - `pip install huggingface_hub` **Usage:** ``` python .\gguf-imat.py ``` Quantizations will be output into the created `models\{model-name}-GGUF` folder. <br><br> ### **Credits:** Feel free to Pull Request with your own features and improvements to this script. **If this proves useful for you, feel free to credit and share the repository.** **Made in conjunction with [@Lewdiculous](https://huggingface.co/Lewdiculous).**