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# LaMini-FLAN-T5-77M
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[![Data License](https://img.shields.io/badge/Data%20License-CC%20By%20NC%204.0-red.svg)](https://github.com/tatsu-lab/stanford_alpaca/blob/main/DATA_LICENSE)
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This model is one of our LaMini model series in paper "[LaMini: A Diverse Herd of Distilled Models from Large-Scale Instructions](https://github.com/mbzuai-nlp/lamini)". This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on [LaMini dataset](https://huggingface.co/datasets/MBZUAI/LaMini-instruction) that contains 2.58M samples for instruction fine-tuning. For more information about our dataset, please refer to our [project repository](https://github.com/mbzuai-nlp/lamini/).
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You can view other LaMini model series as follow. Note that not all models are performing as well. More details can be seen in our paper.
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# Citation
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```bibtex
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@misc{,
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title={LaMini: Distilling Knowledge from Large Language Models},
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# LaMini-FLAN-T5-77M
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[![Model License](https://img.shields.io/badge/Data%20License-CC%20By%20NC%204.0-red.svg)]()
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This model is one of our LaMini model series in paper "[LaMini: A Diverse Herd of Distilled Models from Large-Scale Instructions](https://github.com/mbzuai-nlp/lamini)". This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on [LaMini dataset](https://huggingface.co/datasets/MBZUAI/LaMini-instruction) that contains 2.58M samples for instruction fine-tuning. For more information about our dataset, please refer to our [project repository](https://github.com/mbzuai-nlp/lamini/).
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You can view other LaMini model series as follow. Note that not all models are performing as well. More details can be seen in our paper.
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# Citation
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```bibtex
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@misc{,
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title={LaMini: Distilling Knowledge from Large Language Models},
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