---
license: llama2
language:
- en
library_name: transformers
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- 4bit
- gptq
base_model: meta-llama/LlamaGuard-7b
inference: false
---

# Quantized version of meta-llama/LlamaGuard-7b

## Model Description

The model [meta-llama/LlamaGuard-7b](https://huggingface.co/meta-llama/LlamaGuard-7b) was quantized to 4bit, group_size 128, and act-order=True with auto-gptq integration in transformers (https://huggingface.co/blog/gptq-integration).

## Evaluation

To evaluate the qunatized model and compare it with the full precision model, I performed binary classification on the "toxicity" label from the ~5k samples test set of lmsys/toxic-chat.

📊 Full Precision Model:

Average Precision Score: 0.3625

📊 4-bit Quantized Model:

Average Precision Score: 0.3450