Exllama v2 Quantizations of KAI-7B-Instruct
Using turboderp's ExLlamaV2 v0.0.7 for quantization.
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
Original model: https://huggingface.co/Keynote-Technology/KAI-7B-Instruct
Download instructions
With git:
git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/KAI-7B-Instruct-exl2
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main (only useful if you only care about measurement.json) branch to a folder called KAI-7B-Instruct-exl2:
mkdir KAI-7B-Instruct-exl2
huggingface-cli download bartowski/KAI-7B-Instruct-exl2 --local-dir KAI-7B-Instruct-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir KAI-7B-Instruct-exl2
huggingface-cli download bartowski/KAI-7B-Instruct-exl2 --revision 4.0 --local-dir KAI-7B-Instruct-exl2 --local-dir-use-symlinks False