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Exllama v2 Quantizations of speechless-mistral-dolphin-orca-platypus-samantha-7b

Using turboderp's ExLlamaV2 v0.0.8 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/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b

4.0 bits per weight

5.0 bits per weight

6.0 bits per weight

8.0 bits per weight

Download instructions

With git:

git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/speechless-mistral-dolphin-orca-platypus-samantha-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 speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2:

mkdir speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2
huggingface-cli download bartowski/speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2 --local-dir speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2 --local-dir-use-symlinks False

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

mkdir speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2
huggingface-cli download bartowski/speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2 --revision 4.0 --local-dir speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2 --local-dir-use-symlinks False
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Datasets used to train bartowski/speechless-mistral-dolphin-orca-platypus-samantha-7b-exl2-broken

Evaluation results