---
tags:
- code
- llama
library_name: transformers
pipeline_tag: text-generation
license: other
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-9B/blob/main/LICENSE
quantized_by: bartowski
---
## Exllama v2 Quantizations of Yi-9B-Coder
Using turboderp's ExLlamaV2 v0.0.15 for quantization.
## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Conversion was done using the default calibration dataset.
Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
Original model: https://huggingface.co/TechxGenus/Yi-9B-Coder
8.0 bits per weight
6.5 bits per weight
5.0 bits per weight
4.25 bits per weight
3.5 bits per weight
## Download instructions
With git:
```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Yi-9B-Coder-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 `Yi-9B-Coder-exl2`:
```shell
mkdir Yi-9B-Coder-exl2
huggingface-cli download bartowski/Yi-9B-Coder-exl2 --local-dir Yi-9B-Coder-exl2 --local-dir-use-symlinks False
```
To download from a different branch, add the `--revision` parameter:
Linux:
```shell
mkdir Yi-9B-Coder-exl2-6_5
huggingface-cli download bartowski/Yi-9B-Coder-exl2 --revision 6_5 --local-dir Yi-9B-Coder-exl2-6_5 --local-dir-use-symlinks False
```
Windows (which apparently doesn't like _ in folders sometimes?):
```shell
mkdir Yi-9B-Coder-exl2-6.5
huggingface-cli download bartowski/Yi-9B-Coder-exl2 --revision 6_5 --local-dir Yi-9B-Coder-exl2-6.5 --local-dir-use-symlinks False
```