---
license: apache-2.0
base_model: Qwen/Qwen3-4B-Instruct-2507
tags:
  - biology
  - genomics
  - dna
  - enhancer
  - chain-of-thought
  - qwen3
library_name: transformers
pipeline_tag: text-generation
---

# R3LM — K562

## Load model

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "DuanYi/R3LM_K562"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
)
```

## Citation

```bibtex
@inproceedings{Duan2026Biological,
  author    = {Yi Duan and Zhao Yang and Jiwei Zhu and Ying Ba and Chuan Cao and Bing Su},
  title     = {Biological Reasoning-Informed Regression for Interpretable Regulatory {DNA} Activity Prediction},
  booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD 2026)},
  year      = {2026},
  doi       = {10.1145/3770855.3818836},
}
```

## License

Apache 2.0 — see [R3LM LICENSE](https://github.com/DuanYi516/R3LM/blob/main/LICENSE).