---
quantized_by: bartowski
---

# Exllama v2 Quantizations of Starling-LM-7B-alpha at 5.0 bits per weight

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.

Conversion was done using the default calibration dataset.

Original model: https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha

## Download instructions

With git:

```shell
git clone --single-branch --branch 5.0 https://huggingface.co/bartowski/Starling-LM-7B-alpha-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 Starling-LM-7B-alpha-exl2
huggingface-cli download bartowski/Starling-LM-7B-alpha-exl2 --revision 5_0 --local-dir Starling-LM-7B-alpha-exl2 --local-dir-use-symlinks False
```