OpenBMB
Product information, use cases, and access for OpenBMB.
Pricing information
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What is OpenBMB?
OpenBMB is an open-source model library and toolkit for large-scale pretrained language models. It was initiated with support from the NLP laboratory at Tsinghua University and the Language Model Acceleration Technology Innovation Center of the Beijing Academy of Artificial Intelligence, with a focus on making large-model development and use more accessible.
The project covers model training, fine-tuning, and inference, making it relevant to developers and research teams that want to study, adapt, or run large language models. It also promotes an open-source community intended to advance the standardization, broader adoption, and practical use of large-model technology.
Key features of OpenBMB
Model Library and Tooling
It organizes a model library and related tools around large-scale pretrained language models, giving developers foundational resources for model research, development, and use.
Large-Model Training
The project is intended to accelerate training for large-scale pretrained language models, serving developers and research teams involved in pretraining workflows.
Model Fine-Tuning
Model fine-tuning is part of OpenBMB’s stated toolkit and scope, making it suitable for users who need to adapt or study existing large language models.
Inference and Open Collaboration
The project also addresses large-model inference and uses open-source community collaboration to support more standardized, accessible, and practical use of the technology.