Open-Weight Model Families · 2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Teven Le Scao, Angela Fan, Christopher Akiki, Thomas Wolf, Stella Biderman

Produced a 176-billion-parameter multilingual language model through an open 1000-researcher collaboration, releasing the weights, training code, and data so a frontier-scale model was no longer the preserve of a single well-resourced lab.

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Plain-language summary

BLOOM was trained by the BigScience workshop on the ROOTS corpus spanning 46 natural and 13 programming languages, with the model, code, and data documentation released openly under a responsible-AI licence. It brought many languages underserved by English-centric models into a large open model and made the full training process transparent. It was an early proof that open, multi-institution collaboration could build models at frontier scale.

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Provenance

Record ID
P-368
Record created
2026-07-13
Last reviewed
2026-07-14
Record version
2

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