bigscience/bloom

text-generation model by bigscience

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BigScience Large Open-science Open-access Multilingual Language Model Version 1.3 / 6 July 2022 Current Checkpoint: Training Iteration 95000 Link to paper: here Total seen tokens: 366B BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. As such, it is able to output coherent text in 46 languages and 13 programming languages that is hardly distinguishable from text written by humans. BLOOM can also be instructed to perform text tasks it hasn't been explicitly trained for, by casting them as text generation tasks. This section provides information about the model type, version, license, funders, release date, developers, and contact information. It is useful for anyone who wants to reference the model. Click to expand Developed by: BigScience (website) All collaborators are either volunteers or have an agreement with their employer. (Further breakdown of participants forthcoming.)…

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Documentation belongs to its respective authors. Reported project/model license: bigscience-bloom-rail-1.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

bigscience/bloom is a text-generation model repository published by bigscience on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: text-generation
Library: transformers
Recent downloads (30 days): 10,634
Cumulative likes: 5,096
Hugging Face trending score: 3
Reported safetensors parameters: 176,247,271,424
Architecture: BloomForCausalLM
License: bigscience-bloom-rail-1.0
Access: Not gated by Hugging Face
Created: 2022-05-19T11:53:33.000Z
Last modified: 2026-07-29T07:38:06.000Z

Compatibility and lineage

Reported languages: ak, ar, as, bm, bn, ca, code, en, es, eu, fon, fr, gu, hi, id, ig, ki, kn, lg, ln, ml, mr, ne, nso, ny, or, pa, pt, rn, rw, sn, st, sw, ta, te, tn, ts, tum, tw, ur

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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