---
license: apache-2.0
pipeline_tag: text-generation
tags:
- finetuned
inference:
  parameters:
    temperature: 0.7
quantized_by: bartowski
---

# Exllama v2 Quantizations of Mistral-7B-Instruct-v0.2 at 4.0 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/mistralai/Mistral-7B-Instruct-v0.2

## Download instructions

With git:

```shell
git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-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 Mistral-7B-Instruct-v0.2-exl2
huggingface-cli download bartowski/Mistral-7B-Instruct-v0.2-exl2 --revision 4_0 --local-dir Mistral-7B-Instruct-v0.2-exl2 --local-dir-use-symlinks False
```