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---
quantized_by: bartowski
---
# Exllama v2 Quantizations of bagel-dpo-7b-v0.1 at 8.0 bits per weight
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> for quantization.
Conversion was done using VMWareOpenInstruct.parquet as calibration dataset.
Original model: https://huggingface.co/jondurbin/bagel-dpo-7b-v0.1
## Download instructions
With git:
```shell
git clone --single-branch --branch 8.0 https://huggingface.co/bartowski/bagel-dpo-7b-v0.1-exl2
```
With huggingface hub (credit to TheBloke for instructions):
```shell
pip3 install huggingface-hub
```
To download from a different branch, add the `--revision` parameter:
```shell
mkdir bagel-dpo-7b-v0.1-exl2
huggingface-cli download bartowski/bagel-dpo-7b-v0.1-exl2 --revision 8_0 --local-dir bagel-dpo-7b-v0.1-exl2 --local-dir-use-symlinks False
```