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---
base_model: mistralai/Mistral-7B-v0.1
tags:
- mistral
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
model-index:
- name: OpenHermes-2-Mistral-7B
results: []
license: apache-2.0
language:
- en
quantized_by: bartowski
---
## Exllama v2 Quantizations of OpenHermes-2.5-Mistral-7B-16k
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</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/NurtureAI/OpenHermes-2.5-Mistral-7B-16k
<a href="https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-16k-exl2/tree/4_0">4.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-16k-exl2/tree/6_0">6.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-16k-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/OpenHermes-2.5-Mistral-7B-16k-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 `OpenHermes-2.5-Mistral-7B-16k-exl2`:
```shell
mkdir OpenHermes-2.5-Mistral-7B-16k-exl2
huggingface-cli download bartowski/OpenHermes-2.5-Mistral-7B-16k-exl2 --local-dir OpenHermes-2.5-Mistral-7B-16k-exl2 --local-dir-use-symlinks False
```
To download from a different branch, add the `--revision` parameter:
```shell
mkdir OpenHermes-2.5-Mistral-7B-16k-exl2
huggingface-cli download bartowski/OpenHermes-2.5-Mistral-7B-16k-exl2 --revision 4_0 --local-dir OpenHermes-2.5-Mistral-7B-16k-exl2 --local-dir-use-symlinks False
```
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