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README.md
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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This is an 8-bit quantized version of the `pszemraj/long-t5-tglobal-xl-16384-book-summary` model, The model has been compressed using `bitsandbytes` and can be loaded with low memory usage.
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Refer to the [original model](https://huggingface.co/pszemraj/long-t5-tglobal-xl-16384-book-summary) for all details about the model architecture and training process. For more information on loading 8-bit models, refer to the `4.28.0` [release information](https://github.com/huggingface/transformers/releases/tag/v4.28.0) and the [example repository](https://huggingface.co/ybelkada/bloom-1b7-8bit).
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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> [!IMPORTANT]
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> As of [this discussion](https://huggingface.co/pszemraj/long-t5-tglobal-base-16384-book-summary/discussions/23) we found issues with long-t5 models >= 4.23.0 - please use `pip install transformers==4.22.0` to ensure good performance with this model
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This is an 8-bit quantized version of the `pszemraj/long-t5-tglobal-xl-16384-book-summary` model, The model has been compressed using `bitsandbytes` and can be loaded with low memory usage.
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Refer to the [original model](https://huggingface.co/pszemraj/long-t5-tglobal-xl-16384-book-summary) for all details about the model architecture and training process. For more information on loading 8-bit models, refer to the `4.28.0` [release information](https://github.com/huggingface/transformers/releases/tag/v4.28.0) and the [example repository](https://huggingface.co/ybelkada/bloom-1b7-8bit).
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