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--- |
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license: cc-by-nc-4.0 |
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datasets: |
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- passing2961/multifaceted-skill-of-mind |
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language: |
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- en |
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base_model: |
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- meta-llama/Llama-3.2-3B-Instruct |
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tags: |
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- conversational ai |
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- conversational skill |
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--- |
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# Thanos-3B Model Card |
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[🧠 Multifaceted Skill-of-Mind](https://huggingface.co/datasets/passing2961/multifaceted-skill-of-mind) | [🤖 Thanos-1B](https://huggingface.co/passing2961/Thanos-1B) | [🤖 Thanos-8B](https://huggingface.co/passing2961/Thanos-8B) | [💻 Github](https://github.com/passing2961/Thanos) | [📄 Arxiv](https://arxiv.org/abs/2411.04496) | [📕 PDF](https://arxiv.org/pdf/2411.04496) |
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> 🚨 Disclaimer: All models and dataset are intended to be used for research purposes only. |
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## Model Description |
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- **Repository:** [Code](https://github.com/passing2961/Thanos) |
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- **Paper:** Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model |
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- **Point of Contact:** [Young-Jun Lee](mailto:[email protected]) |
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## Model Details |
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- **Model**: Thanos-series is a fully open-source, skill-of-mind-infused LLM designed to help general conversational agents respond in a more human-like way. |
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- **Date**: Thanos-series was trained in 2024. |
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- **Training Dataset**: [100K Multifaceted Skill-of-Mind](https://huggingface.co/datasets/passing2961/multifaceted-skill-of-mind) |
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- **Architecture**: Thanos-3B was trained on top of [LLaMA-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct). |
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## How to Use |
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## License and Recommendations |
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🚨 Thanos-3B is intended to be used for research purposes only. |
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## Acknowledgement |
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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]. |
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## Citation |
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If you find the resources in this repository useful, please cite our work: |
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``` |
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@misc{lee2024thanosenhancingconversationalagents, |
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title={Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model}, |
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author={Young-Jun Lee and Dokyong Lee and Junyoung Youn and Kyeongjin Oh and Ho-Jin Choi}, |
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year={2024}, |
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eprint={2411.04496}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2411.04496}, |
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} |
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``` |
