---
datasets:
- emozilla/yarn-train-tokenized-16k-mistral
metrics:
- perplexity
library_name: transformers
quantized_by: bartowski
---

# Exllama v2 Quantizations of Yarn-Mistral-7b-128k at 8.0

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7">turboderp's ExLlamaV2 v0.0.7</a> for quantization.

Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.

Original model: https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k

## Download instructions

With git:

```shell
git clone --single-branch --branch 8.0 https://huggingface.co/bartowski/Yarn-Mistral-7b-128k-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 Yarn-Mistral-7b-128k-exl2
huggingface-cli download bartowski/Yarn-Mistral-7b-128k-exl2 --revision  --local-dir Yarn-Mistral-7b-128k-exl2 --local-dir-use-symlinks False
```