Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
bloom
Eval Results
text-generation-inference
Inference Endpoints

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+ BLOOM is an open-access multilingual language model that contains 176 billion parameters and was trained for 3.5 months on 384 A100–80GB GPUs.
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+ A BLOOM checkpoint takes 330 GB of disk space, so it seems unfeasible to run this model on a desktop computer.
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+ However, you just need enough disk space, at least 16GB of RAM, and some patience (you don’t even need a GPU), to run this model on your computer.
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+ BLOOM is a collaborative effort of more than 1,000 scientist and the amazing Hugging Face team.
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+ It is remarkable that such large multi-lingual model is openly available for everybody.
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+ By the end of this tutorial, you will learn how to run this massive language model on your local computer and see it in action generating texts such as: