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--- |
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license: apache-2.0 |
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datasets: |
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- neulab/PangeaInstruct |
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language: |
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- am |
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- ar |
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- bg |
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- bn |
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- cs |
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- de |
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- el |
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- en |
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- es |
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- fa |
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- fr |
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- ga |
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- hi |
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- id |
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- ig |
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- it |
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- iw |
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- ja |
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- jv |
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- ko |
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- nl |
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- mn |
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- ms |
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- no |
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- pl |
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- pt |
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- ro |
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- ru |
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- si |
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- su |
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- sw |
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- ta |
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- te |
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- th |
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- tr |
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- uk |
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- ur |
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- vi |
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- zh |
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base_model: |
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- Qwen/Qwen2-7B-Instruct |
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--- |
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# Pangea-7B Model Card |
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[Homepage](https://neulab.github.io/Pangea/) | [Pangea-7B](https://huggingface.co/neulab/Pangea-7B) | [PangeaIns](https://huggingface.co/datasets/neulab/PangeaInstruct) |
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| [PangeaBench](https://huggingface.co/collections/neulab/pangea-6713c3b0d78a453906eb2ed8) | [Github](https://github.com/neulab/Pangea/tree/main) |
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| [Arxiv](https://arxiv.org/abs/2410.16153) | [PDF](https://arxiv.org/pdf/2410.16153) |
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## Model details |
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- **Model:** Pangea is an fully open-source Multilingual Multimodal Multicultural LLM. |
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- **Date:** Pangea-7B was trained in 2024. |
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- **Training Dataset:** [6M PangeaIns](https://huggingface.co/datasets/neulab/PangeaInstruct). |
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## Uses |
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### Direct Use |
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```python |
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from transformers import AutoProcessor, AutoModelForCausalLM |
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processor = AutoProcessor.from_pretrained("neulab/Pangea-7B") |
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model = AutoModelForCausalLM.from_pretrained("neulab/Pangea-7B") |
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``` |
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## Citing the Model |
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**BibTeX Citation:** |
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``` |
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@article{yue2024pangeafullyopenmultilingual, |
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title={Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages}, |
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author={Xiang Yue and Yueqi Song and Akari Asai and Seungone Kim and Jean de Dieu Nyandwi and Simran Khanuja and Anjali Kantharuban and Lintang Sutawika and Sathyanarayanan Ramamoorthy and Graham Neubig}, |
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year={2024}, |
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journal={arXiv preprint arXiv:2410.16153}, |
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url={https://arxiv.org/abs/2410.16153} |
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} |
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``` |
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