metadata
license: apache-2.0
tags:
- rag
- closed-qa
- context
- mistral
quantized_by: bartowski
Exllama v2 Quantizations of docsgpt-7b-mistral at 6.0 bits per weight
Using turboderp's ExLlamaV2 v0.0.10 for quantization.
Conversion was done using VMWareOpenInstruct.parquet as calibration dataset.
Original model: https://huggingface.co./Arc53/docsgpt-7b-mistral
Download instructions
With git:
git clone --single-branch --branch 6.0 https://huggingface.co./bartowski/docsgpt-7b-mistral-exl2
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download from a different branch, add the --revision
parameter:
mkdir docsgpt-7b-mistral-exl2
huggingface-cli download bartowski/docsgpt-7b-mistral-exl2 --revision 6_0 --local-dir docsgpt-7b-mistral-exl2 --local-dir-use-symlinks False