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README.md
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<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku.svg" width="30%" alt="Nunchaku Logo"/>
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# Model Card for nunchaku-t5
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This repository contains Nunchaku-quantized versions of [T5-XXL](https://huggingface.co/google/t5-v1_1-xxl), used to encode text prompt to the embeddings. It is used to reduce the memory footprint of the model.
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<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku.svg" width="30%" alt="Nunchaku Logo"/>
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</p>
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<div align="center">
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<a href=https://discord.gg/Wk6PnwX9Sm target="_blank"><img src=https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2FWk6PnwX9Sm%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Discord&color=green&suffix=%20total height=22px></a>
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<a href=https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/wechat.jpg target="_blank"><img src=https://img.shields.io/badge/WeChat-07C160?logo=wechat&logoColor=white height=22px></a>
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</div>
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# Model Card for nunchaku-t5
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This repository contains Nunchaku-quantized versions of [T5-XXL](https://huggingface.co/google/t5-v1_1-xxl), used to encode text prompt to the embeddings. It is used to reduce the memory footprint of the model.
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