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quantized_by: bartowski

Exllama v2 Quantizations of dolphin-2.6-mistral-7b-dpo-laser at 6.5 bits per weight

Using turboderp's ExLlamaV2 v0.0.11 for quantization.

Conversion was done using the default calibration dataset.

Original model: https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser/

Download instructions

With git:

git clone --single-branch --branch 6.5 https://huggingface.co/bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

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

mkdir dolphin-2.6-mistral-7b-dpo-laser-exl2
huggingface-cli download bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2 --revision 6_5 --local-dir dolphin-2.6-mistral-7b-dpo-laser-exl2 --local-dir-use-symlinks False