HERMES
English
llama
uncensored
Merge
mix
slerp
spherical linear interpolation merge
mistral
openhermes
dolphin
zephyr
naberius
7b
llama2
Instructions to use bartowski/Naberius-7B-exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HERMES
How to use bartowski/Naberius-7B-exl2 with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Exllama v2 Quantizations of Naberius-7B
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/CalderaAI/Naberius-7B
Download instructions
With git:
git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Naberius-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 Naberius-7B-exl2:
mkdir Naberius-7B-exl2
huggingface-cli download bartowski/Naberius-7B-exl2 --local-dir Naberius-7B-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir Naberius-7B-exl2
huggingface-cli download bartowski/Naberius-7B-exl2 --revision 4.0 --local-dir Naberius-7B-exl2 --local-dir-use-symlinks False
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