Exllama v2 Quantizations of Nous-Capybara-7B-V1.9
Using turboderp's ExLlamaV2 v0.0.7 for quantization.
Each branches contains an individual bits per weight.
Conversion was done using wikitext.parquet as calibration dataset.
Original model: https://huggingface.co/NousResearch/Nous-Capybara-7B-V1.9
Download instructions
With git:
git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Nous-Capybara-7B-V1.9-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 Nous-Capybara-7B-V1.9-exl2:
mkdir Nous-Capybara-7B-V1.9-exl2
huggingface-cli download bartowski/Nous-Capybara-7B-V1.9-exl2 --local-dir Nous-Capybara-7B-V1.9-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir Nous-Capybara-7B-V1.9-exl2
huggingface-cli download bartowski/Nous-Capybara-7B-V1.9-exl2 --revision 4.0 --local-dir Nous-Capybara-7B-V1.9-exl2 --local-dir-use-symlinks False
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.