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license: cc-by-nc-4.0
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Simple python script to generate various GGUF-Imatrix quantizations from a Hugging Face `author/model` input, for Windows and NVIDIA hardware.
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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.
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license: cc-by-nc-4.0
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Simple python script (`gguf-imat.py`) to generate various GGUF-Imatrix quantizations from a Hugging Face `author/model` input, for Windows and NVIDIA hardware.
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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.
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