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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 is a 176 billion parameter LLM that can generate text in 46 natural and 13 programming languages. It is the result of a year-long collaboration of over 1000 researchers from 70+ countries and 250+ institutions, and it is available for download, study and use under a Responsible AI License.
The BLOOM tokenizer is a learned subword tokenizer trained using: A byte-level Byte Pair Encoding (BPE) algorithm A simple pre-tokenization rule, no normalization
BigScience is a one-year long research workshop that aims to create a very large multilingual neural network language model and a very large multilingual text dataset. The project involves more than 1,000 researchers from 60 countries and explores the challenges and perspectives of large language models.
About org cards. BigScience is an open and collaborative workshop around the study and creation of very large language models gathering more than 1000 researchers around the worlds. You can find more information on the main website at https://bigscience.huggingface.co.
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences.
9 de nov. de 2022 · As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 ...
