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---
license: apache-2.0
---
# ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
[](https://arxiv.org/abs/2407.04693)
[](./LICENSE)
This page holds the ANAH-v2 model which is trained base on the Internlm2-7B. It is fine-tuned to annotate the hallucination in LLM's responses.
More information please refer to our [project page](https://open-compass.github.io/ANAH/).
## 🤗 How to use the model
You have to follow the prompt in [our paper](https://arxiv.org/abs/2407.04693) to annotate the hallucination.
The models follow the conversation format of InternLM2-chat, with the template protocol as:
```python
dict(role='user', begin='<|im_start|>user\n', end='<|im_end|>\n'),
dict(role='assistant', begin='<|im_start|>assistant\n', end='<|im_end|>\n'),
```
## 🖊️ Citation
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}
}
``` |