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
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
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.