ByteDance-Seed/Bagel
A ByteDance multimodal foundation model that unifies understanding and generation across text, images, and other modalities.
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Bagel is an open-source unified multimodal model developed by ByteDance Seed. It combines multimodal understanding and generation capabilities in a single foundation model, supporting text, images, and other modalities. The project provides model weights on HuggingFace, training code, and a demo interface for the 7B-scale MoT (Mixture-of-Transformers) variant.
Frequently asked
- What is ByteDance-Seed/Bagel?
- A ByteDance multimodal foundation model that unifies understanding and generation across text, images, and other modalities.
- Is Bagel open source?
- Yes — ByteDance-Seed/Bagel is open source, released under the Apache-2.0 license.
- What language is Bagel written in?
- ByteDance-Seed/Bagel is primarily written in Python.
- How popular is Bagel?
- ByteDance-Seed/Bagel has 6.1k stars on GitHub.
- Where can I find Bagel?
- ByteDance-Seed/Bagel is on GitHub at https://github.com/ByteDance-Seed/Bagel.