---
license: apache-2.0
tags:
- openchat
- mistral
- C-RLFT
datasets:
- openchat/openchat_sharegpt4_dataset
- imone/OpenOrca_FLAN
- LDJnr/LessWrong-Amplify-Instruct
- LDJnr/Pure-Dove
- LDJnr/Verified-Camel
- tiedong/goat
- glaiveai/glaive-code-assistant
- meta-math/MetaMathQA
- OpenAssistant/oasst_top1_2023-08-25
- TIGER-Lab/MathInstruct
library_name: transformers
pipeline_tag: text-generation
quantized_by: bartowski
---

# Exllama v2 Quantizations of openchat-3.5-1210 at 8.0 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/openchat/openchat-3.5-1210

## Download instructions

With git:

```shell
git clone --single-branch --branch 8.0 https://huggingface.co/bartowski/openchat-3.5-1210-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 openchat-3.5-1210-exl2
huggingface-cli download bartowski/openchat-3.5-1210-exl2 --revision 8_0 --local-dir openchat-3.5-1210-exl2 --local-dir-use-symlinks False
```