Exllama v2 Quantizations of DPOpenHermes-7B
Using turboderp's ExLlamaV2 v0.0.10 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.
Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
Original model: https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B
Download instructions
With git:
git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/DPOpenHermes-7B-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 DPOpenHermes-7B-exl2
:
mkdir DPOpenHermes-7B-exl2
huggingface-cli download bartowski/DPOpenHermes-7B-exl2 --local-dir DPOpenHermes-7B-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision
parameter:
mkdir DPOpenHermes-7B-exl2
huggingface-cli download bartowski/DPOpenHermes-7B-exl2 --revision 4_0 --local-dir DPOpenHermes-7B-exl2 --local-dir-use-symlinks False
Model tree for bartowski/DPOpenHermes-7B-exl2
Base model
teknium/OpenHermes-2-coder-Mistral-7B-v2-e4