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1# transformers==4.43.3 accelerate==1.0.1 peft==0.13.2
2from transformers import AutoModel
3model = AutoModel.from_pretrained("Manhph2211/Q-HEART", trust_remote_code=True, dtype="auto")1git clone https://github.com/manhph2211/Q-HEART.git && cd Q-HEART
2conda create -n qheart python=3.9
3conda activate qheart
4pip install torch --index-url https://download.pytorch.org/whl/cu118
5pip install -r requirements.txtckpts/pytorch_model.bin, then run evaluation:python main.py --model_type meta-llama/Llama-3.2-1B-Instruct --mapping_type Transformer1
2@article{pham2025q,
3 title={Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs},
4 author={Pham, Hung Manh and Tang, Jialu and Saeed, Aaqib and Ma, Dong},
5 journal={arXiv preprint arXiv:2505.06296},
6 year={2025}
7}
8
9@inproceedings{pham2025qheart,
10 title = {Q-HEART: ECG Question Answering via Knowledge-Informed Multimodal LLMs},
11 author = {Pham, Hung Manh and Tang, Jialu and Saeed, Aaqib and Ma, Dong},
12 booktitle = {Proceedings of the European Conference on Artificial Intelligence (ECAI)},
13 series = {Frontiers in Artificial Intelligence and Applications},
14 volume = {413},
15 pages = {4545--4552},
16 year = {2025},
17 publisher = {IOS Press},
18 doi = {10.3233/FAIA251356}
19}