MistralLite-exl2

Exllama v2 Quantizations of MistralLite

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-103-raw-v1-test.parquet as calibration dataset.

Original model: https://huggingface.co/amazon/MistralLite

<a href="https://huggingface.co/bartowski/MistralLite-exl2/tree/4.0">4.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/MistralLite-exl2/tree/6.0">6.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/MistralLite-exl2/tree/8.0">8.0 bits per weight</a>

Download instructions

With git:

git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/MistralLite-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 MistralLite-exl2:

mkdir MistralLite-exl2
huggingface-cli download bartowski/MistralLite-exl2 --local-dir MistralLite-exl2 --local-dir-use-symlinks False

To download from a different branch, add the --revision parameter:

mkdir MistralLite-exl2
huggingface-cli download bartowski/MistralLite-exl2 --revision 4.0 --local-dir MistralLite-exl2 --local-dir-use-symlinks False