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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.
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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.
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Several smaller versions of the models have been trained on the same dataset. BLOOM is available in the following versions:

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- [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)
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- [bloom](https://huggingface.co/bigscience/bloom) (176B parameters)
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## BloomConfig

[[autodoc]] BloomConfig
    - all

## BloomModel

[[autodoc]] BloomModel
    - forward

## BloomTokenizerFast

[[autodoc]] BloomTokenizerFast
    - all

## BloomForCausalLM

[[autodoc]] BloomForCausalLM
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    - forward

## BloomForSequenceClassification

[[autodoc]] BloomForSequenceClassification
    - forward

## BloomForTokenClassification

[[autodoc]] BloomForTokenClassification
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    - forward
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## BloomForQuestionAnswering

[[autodoc]] BloomForQuestionAnswering
    - forward