finetuned text-generation license:apache-2.0 region:us
---
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

Using <a href="https://github.com/turboderp/exllamav2/tree/experimental">turboderp's ExLlamaV2 experimental</a> for quantization.

Each branch contains an individual bits per weight. This is an experimental ExLlamaV2 quantization with no measurement.json produced.

Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.

Original model: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2



<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/8_0">8.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/7_0">7.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/6_0">6.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/5_0">5.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/4_0">4.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2/tree/3_75">3.75 bits per weight</a>

## 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 a specific BPW branch to a folder called `Mistral-7B-Instruct-v0.2-exl2`:

```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
```
