metadata

language:
  - en
  - de
  - fr
  - it
  - pt
  - hi
  - es
  - th
library_name: exllamav2
pipeline_tag: text-generation
tags:
  - facebook
  - meta
  - pytorch
  - llama
  - llama-3
  - safety
license: llama3.2
base_model:
  - meta-llama/Llama-Guard-3-1B

Exl2 quants for Llama-Guard-3-1B

This is a quantized model from the llama guard series for use with exllamav2.
Please refer to the original model card for instructions on how to use this model.

Only use this version for testing, BF16 weights recommended for deployment or at least 8bpw.

BPW:

4.0
4.5
5.0
6.0
6.5
8.0
measurement.json

How to download:

oobabooga's downloader

use something like download-model.py to download with python requests.
Install requirements:

pip install requests tqdm

Example for downloading 8bpw:

python download-model.py Anthonyg5005/Llama-Guard-3-1B-exl2:8.0bpw

huggingface-cli

You may also use huggingface-cli
To install it, install python hf-hub

pip install huggingface-hub

Example for 8bpw:

huggingface-cli download Anthonyg5005/Llama-Guard-3-1B-exl2 --local-dir Llama-Guard-3-1B-exl2-exl2-8bpw --revision 8.0bpw

Git LFS (not recommended)

I would recommend the http downloaders over using git, they can resume downloads if failed and are much easier to work with.
Make sure to have git and git LFS installed.
Example for 8bpw download with git:

Have LFS file skip disabled

# windows
set GIT_LFS_SKIP_SMUDGE=0
# linux
export GIT_LFS_SKIP_SMUDGE=0

Clone repo branch

git clone https://huggingface.co/Anthonyg5005/Llama-Guard-3-1B-exl2 -b 8.0bpw