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---
license: cc-by-nc-nd-4.0
datasets:
- ajibawa-2023/Python-Code-23k-ShareGPT
language:
- en
tags:
- code
quantized_by: bartowski
---
## Exllama v2 Quantizations of Python-Code-13B
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 Evol-Instruct-Code-80k-v1.parquet as calibration dataset.
Original model: https://huggingface.co/ajibawa-2023/Python-Code-13B
<a href="https://huggingface.co/bartowski/Python-Code-13B-exl2/tree/3.75">3.75 bits per weight</a>
<a href="https://huggingface.co/bartowski/Python-Code-13B-exl2/tree/4.0">4.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/Python-Code-13B-exl2/tree/6.0">6.0 bits per weight</a>
<a href="https://huggingface.co/bartowski/Python-Code-13B-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/Python-Code-13B-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 `Python-Code-13B-exl2`:
```shell
mkdir Python-Code-13B-exl2
huggingface-cli download bartowski/Python-Code-13B-exl2 --local-dir Python-Code-13B-exl2 --local-dir-use-symlinks False
```
To download from a different branch, add the `--revision` parameter:
```shell
mkdir Python-Code-13B-exl2
huggingface-cli download bartowski/Python-Code-13B-exl2 --revision 4.0 --local-dir Python-Code-13B-exl2 --local-dir-use-symlinks False
```
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