Downloads · 30 days
30
4% of all-time downloads
opencompass/anah-v2
anah-v2 is a text classification model from opencompass. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
[](https://arxiv.org/abs/2407.04693) [](./LICENSE)
Downloads · 30 days
30
4% of all-time downloads
All-time downloads
841
Public
Parameters
7.7B
15.5 GB on disk
Likes
5
Public
Click a slice to open those files.
.safetensors15.5 GB · 100%
From the Hugging Face model README
This page holds the ANAH-v2 model which is trained based on the InternLM2-7B. It is fine-tuned to annotate the hallucination in LLMs' responses.
More information please refer to our project page.
You have to follow the prompt in our paper to annotate the hallucination and you can find it easily here.
We also provide some examples of using the ANAH-v2 annotator, which you can refer to for annotating your content.
If you find this project useful in your research, please consider citing:
@article{gu2024anah,
title={ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models},
author={Gu, Yuzhe and Ji, Ziwei and Zhang, Wenwei and Lyu, Chengqi and Lin, Dahua and Chen, Kai},
journal={arXiv preprint arXiv:2407.04693},
year={2024}
}