OPT vs Bloom

OPT

Meta's open pretrained transformer language models for researchers

OPT (Open Pretrained Transformers) is a suite of open-source large language models from Meta AI, ranging from 125M to 175B parameters, designed as a reproducible and accessible alternative to GPT-3. The models are available on Hugging Face for research purposes and are trained on publicly available datasets. OPT aims to enable the broader research community to study large language model behavior and limitations.

Bloom

Open multilingual LLM trained by 1,000+ researchers worldwide

BLOOM is a 176-billion parameter open-access multilingual language model developed collaboratively by over 1,000 AI researchers through the BigScience project. It supports 46 natural languages and 13 programming languages, making it one of the most linguistically diverse LLMs available. BLOOM is freely available on Hugging Face and is designed for researchers and developers needing a transparent, open-source alternative to proprietary models.