README.md

metadata

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 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