transformers/docs/source/en/model_doc/bloom.md
Steven Liu c0f8d055ce
[docs] Redesign (#31757)
* toctree

* not-doctested.txt

* collapse sections

* feedback

* update

* rewrite get started sections

* fixes

* fix

* loading models

* fix

* customize models

* share

* fix link

* contribute part 1

* contribute pt 2

* fix toctree

* tokenization pt 1

* Add new model (#32615)

* v1 - working version

* fix

* fix

* fix

* fix

* rename to correct name

* fix title

* fixup

* rename files

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* add copied from on tests

* rename to `FalconMamba` everywhere and fix bugs

* fix quantization + accelerate

* fix copies

* add `torch.compile` support

* fix tests

* fix tests and add slow tests

* copies on config

* merge the latest changes

* fix tests

* add few lines about instruct

* Apply suggestions from code review

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* fix tests

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* "to be not" -> "not to be" (#32636)

* "to be not" -> "not to be"

* Update sam.md

* Update trainer.py

* Update modeling_utils.py

* Update test_modeling_utils.py

* Update test_modeling_utils.py

* fix hfoption tag

* tokenization pt. 2

* image processor

* fix toctree

* backbones

* feature extractor

* fix file name

* processor

* update not-doctested

* update

* make style

* fix toctree

* revision

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* fix

* make style

* fix hfoption tag

* pipeline

* pipeline gradio

* pipeline web server

* add pipeline

* fix toctree

* not-doctested

* prompting

* llm optims

* fix toctree

* fixes

* cache

* text generation

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* chat pipeline

* chat stuff

* xla

* torch.compile

* cpu inference

* toctree

* gpu inference

* agents and tools

* gguf/tiktoken

* finetune

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* trainer

* trainer pt 2

* optims

* optimizers

* accelerate

* parallelism

* fsdp

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* distributed cpu

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* gpu training 2

* peft

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* chat toctree

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* serialization

* torchscript

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* review

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* modular

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* reviews reviews

* continue reviews

* more reviews

* modular transformers

* more review

* zamba2

* fix

* all frameworks

* pytorch

* supported model frameworks

* flashattention

* rm check_table

* not-doctested.txt

* rm check_support_list.py

* feedback

* updates/feedback

* review

* feedback

* fix

* update

* feedback

* updates

* update

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
2025-03-03 10:33:46 -08:00

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BLOOM

PyTorch Flax

Overview

The BLOOM model has been proposed with its various versions through the BigScience Workshop. 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:

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.

See also:

Inference

⚙️ Training

BloomConfig

autodoc BloomConfig - all

BloomTokenizerFast

autodoc BloomTokenizerFast - all

BloomModel

autodoc BloomModel - forward

BloomForCausalLM

autodoc BloomForCausalLM - forward

BloomForSequenceClassification

autodoc BloomForSequenceClassification - forward

BloomForTokenClassification

autodoc BloomForTokenClassification - forward

BloomForQuestionAnswering

autodoc BloomForQuestionAnswering - forward

FlaxBloomModel

autodoc FlaxBloomModel - call

FlaxBloomForCausalLM

autodoc FlaxBloomForCausalLM - call