--- license: cc-by-nc-4.0 datasets: - passing2961/stark-summary language: - en base_model: - meta-llama/Llama-3.2-1B-Instruct tags: - conversational ai - conversation summarization --- # Ultron-Summarizer-1B Model Card [🏠 Homepage](https://stark-dataset.github.io/) | [💻 Github](https://github.com/passing2961/Stark) | [📄 Arxiv](https://arxiv.org/abs/2407.03958) | [📕 PDF](https://arxiv.org/pdf/2407.03958) ## List of Provided Model Series - **Ultron-Summarizer-Series:** [🤖 Ultron-Summarizer-1B](https://huggingface.co/passing2961/Ultron-Summarizer-1B) | [🤖 Ultron-Summarizer-3B](https://huggingface.co/passing2961/Ultron-Summarizer-3B) | [🤖 Ultron-Summarizer-8B](https://huggingface.co/passing2961/Ultron-Summarizer-8B) - **Ultron 7B**: [🤖 Ultron-7B](https://huggingface.co/passing2961/Ultron-7B) > 🚨 Disclaimer: All models and datasets are intended for research purposes only. ## Model Description - **Repository:** [Code](https://github.com/passing2961/Stark) - **Paper:** [Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge](https://arxiv.org/abs/2407.03958) - **Point of Contact:** [Young-Jun Lee](mailto:yj2961@kaist.ac.kr) ## Model Details - **Model**: Ultron-Summarizer-1B is a fully open-source conversational summarizer that generates summaries for long-term conversations, including those with image-sharing turns. - **Date**: Ultron-Summarizer-1B was trained in 2024. - **Training Dataset**: [Stark-Summary](https://huggingface.co/datasets/passing2961/stark-summary) - **Architecture**: Ultron-Summarizer-1B was trained on top of [LLaMA-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct). ## How to Use ## License and Recommendations 🚨 Ultron-Summarizer-1B is intended to be used for research purposes only. ## Acknowledgement This work was supported by a grant of the KAIST-KT joint research project through AI Tech Lab, Institute of convergence Technology, funded by KT [Project No. G01230605, Development of Task-oriented Persona-based Dialogue Generation Combining Multi-modal Interaction and Knowledge Modeling]. ## Citation If you find the resources in this repository useful, please cite our work: ``` @article{lee2024stark, title={Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge}, author={Lee, Young-Jun and Lee, Dokyong and Youn, Junyoung and Oh, Kyeongjin and Ko, Byungsoo and Hyeon, Jonghwan and Choi, Ho-Jin}, journal={arXiv preprint arXiv:2407.03958}, year={2024} } ```