---
library_name: peft
base_model: meta-llama/Meta-Llama-3-8B-Instruct
base_model_relation: adapter
license: llama3
tags:
- peft
- lora
- text-generation
- paraphrasing
- detector-evasion
- hip
model-index:
- name: Llama-3-8B-Instruct-HIP-adapter
  results: []
---

# Llama-3-8B-Instruct-HIP-adapter

This repository contains a LoRA adapter trained for **Humanization by Iterative Paraphrasing (HIP)**, from the paper *Base Models Look Human To AI Detectors*.

The adapter is intended to be loaded on top of:

```text
meta-llama/Meta-Llama-3-8B-Instruct
```

## Model Details

- **Adapter type:** LoRA / PEFT adapter
- **Base model:** `meta-llama/Meta-Llama-3-8B-Instruct`
- **Training objective:** AI-to-human paraphrase reconstruction
- **Training data:** paired AI-style and human-written passages from the HIP training data
- **Intended pipeline:** iterative paraphrasing, where the adapter rewrites the previous round's output for a fixed number of rounds

## Intended Use

This adapter is released to support research reproducibility for the HIP paper. It is intended for studying detector behavior, paraphrase-based rewriting, and robustness of AI-text detectors.

The adapter should not be used to evade deployed academic-integrity, authorship, or provenance systems in real-world settings.

## Usage

```python
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_model = "meta-llama/Meta-Llama-3-8B-Instruct"
adapter = "YixuanEvenXu/Llama-3-8B-Instruct-HIP-adapter"

tokenizer = AutoTokenizer.from_pretrained(adapter)
model = AutoModelForCausalLM.from_pretrained(base_model, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
```

For the full minimal HIP pipeline, see the code release linked from the paper.

## Training Summary

The adapter was trained with supervised fine-tuning on paired examples `(a_i, h_i)`, where `a_i` is an AI-style paraphrase of a human passage and `h_i` is the corresponding human-written target. Training uses a plain source-target format rather than a chat template.

## Citation

If you use this adapter, please cite:

```bibtex
@article{xu2026base,
  title={Base Models Look Human To AI Detectors},
  author={Yixuan Even Xu and Ziqian Zhong and Aditi Raghunathan and Fei Fang and J. Zico Kolter},
  journal={arXiv preprint arXiv:2605.19516},
  year={2026}
}
```

## License and Terms

This adapter is built on top of Meta Llama 3 materials and is distributed under the Meta Llama 3 Community License. Users must comply with the Meta Llama 3 license and acceptable use policy for the base model.

**Built with Meta Llama 3.**

Base model reference:

```text
meta-llama/Meta-Llama-3-8B-Instruct
```

## Limitations

This adapter was trained for a specific research setting and evaluated on selected English prose domains. Performance may differ across domains, languages, detectors, and future detector versions.