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---
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
```
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