---
license: apache-2.0
language:
- en
tags:
- mistral
- instruct
- finetune
- chatml
- gpt4
quantized_by: bartowski
---

## Exllama v2 Quantizations of Autolycus-Mistral_7B

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7">turboderp's ExLlamaV2 v0.0.7</a> 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/FPHam/Autolycus-Mistral_7B
 
<a href="https://huggingface.co/bartowski/Autolycus-Mistral_7B-exl2/tree/5.0">5.0 bits per weight</a>
 
<a href="https://huggingface.co/bartowski/Autolycus-Mistral_7B-exl2/tree/6.0">6.0 bits per weight</a>
 
<a href="https://huggingface.co/bartowski/Autolycus-Mistral_7B-exl2/tree/8.0">8.0 bits per weight</a>

## Download instructions

With git:

```shell
git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Autolycus-Mistral_7B-exl2
```

With huggingface hub (credit to TheBloke for instructions):

```shell
pip3 install huggingface-hub
```

To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Autolycus-Mistral_7B-exl2`:

```shell
mkdir Autolycus-Mistral_7B-exl2
huggingface-cli download bartowski/Autolycus-Mistral_7B-exl2 --local-dir Autolycus-Mistral_7B-exl2 --local-dir-use-symlinks False
```

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

```shell
mkdir Autolycus-Mistral_7B-exl2
huggingface-cli download bartowski/Autolycus-Mistral_7B-exl2 --revision 4.0 --local-dir Autolycus-Mistral_7B-exl2 --local-dir-use-symlinks False
```