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bartowski/SciPhi-Mistral-7B-32k-exl2
SciPhi-Mistral-7B-32k-exl2 is a machine learning model from bartowski. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7"turboderp's ExLlamaV2 v0.0.7</a for quantization.
Downloads · 30 days
12
44% of all-time downloads
All-time downloads
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.json3.3 MB · 100%
From the Hugging Face model README
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7">turboderp's ExLlamaV2 v0.0.7</a> 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.parquet as calibration dataset.
Original model: https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k
<a href="https://huggingface.co/bartowski/SciPhi-Mistral-7B-32k-exl2//tree/4.0">4.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/SciPhi-Mistral-7B-32k-exl2//tree/6.0">6.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/SciPhi-Mistral-7B-32k-exl2/tree/8.0">8.0 bits per weight</a>
With git:
git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/SciPhi-Mistral-7B-32k-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 SciPhi-Mistral-7B-32k-exl2:
mkdir SciPhi-Mistral-7B-32k-exl2
huggingface-cli download bartowski/SciPhi-Mistral-7B-32k-exl2 --local-dir SciPhi-Mistral-7B-32k-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir SciPhi-Mistral-7B-32k-exl2
huggingface-cli download bartowski/SciPhi-Mistral-7B-32k-exl2 --revision 4.0 --local-dir SciPhi-Mistral-7B-32k-exl2 --local-dir-use-symlinks False