---
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 <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/Arc53/docsgpt-7b-mistral

## Download instructions

With git:

```shell
git clone --single-branch --branch 6.0 https://huggingface.co/bartowski/docsgpt-7b-mistral-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 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
```