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| # BLOOM | |
| ## Overview | |
| The BLOOM model has been proposed with its various versions through the [BigScience Workshop](https://bigscience.huggingface.co/). BigScience is inspired by other open science initiatives where researchers have pooled their time and resources to collectively achieve a higher impact. | |
| The architecture of BLOOM is essentially similar to GPT3 (auto-regressive model for next token prediction), but has been trained on 46 different languages and 13 programming languages. | |
| Several smaller versions of the models have been trained on the same dataset. BLOOM is available in the following versions: | |
| - [bloom-560m](https://huggingface.co/bigscience/bloom-560m) | |
| - [bloom-1b1](https://huggingface.co/bigscience/bloom-1b1) | |
| - [bloom-1b7](https://huggingface.co/bigscience/bloom-1b7) | |
| - [bloom-3b](https://huggingface.co/bigscience/bloom-3b) | |
| - [bloom-7b1](https://huggingface.co/bigscience/bloom-7b1) | |
| - [bloom](https://huggingface.co/bigscience/bloom) (176B parameters) | |
| ## Resources | |
| A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLOOM. If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource. | |
| <PipelineTag pipeline="text-generation"/> | |
| - [`BloomForCausalLM`] is supported by this [causal language modeling example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling#gpt-2gpt-and-causal-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb). | |
| See also: | |
| - [Causal language modeling task guide](../tasks/language_modeling) | |
| - [Text classification task guide](../tasks/sequence_classification) | |
| - [Token classification task guide](../tasks/token_classification) | |
| - [Question answering task guide](../tasks/question_answering) | |
| ⚡️ Inference | |
| - A blog on [Optimization story: Bloom inference](https://huggingface.co/blog/bloom-inference-optimization). | |
| - A blog on [Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate](https://huggingface.co/blog/bloom-inference-pytorch-scripts). | |
| ⚙️ Training | |
| - A blog on [The Technology Behind BLOOM Training](https://huggingface.co/blog/bloom-megatron-deepspeed). | |
| ## BloomConfig | |
| [[autodoc]] BloomConfig | |
| - all | |
| ## BloomModel | |
| [[autodoc]] BloomModel | |
| - forward | |
| ## BloomTokenizerFast | |
| [[autodoc]] BloomTokenizerFast | |
| - all | |
| ## BloomForCausalLM | |
| [[autodoc]] BloomForCausalLM | |
| - forward | |
| ## BloomForSequenceClassification | |
| [[autodoc]] BloomForSequenceClassification | |
| - forward | |
| ## BloomForTokenClassification | |
| [[autodoc]] BloomForTokenClassification | |
| - forward | |
| ## BloomForQuestionAnswering | |
| [[autodoc]] BloomForQuestionAnswering | |
| - forward | |