BAGEL 7B Mot
ByteDance's BAGEL 7B Mot is a multimodal foundation model with 7B active parameters, trained on large-scale interleaved multimodal data, and excels at multimodal understanding and generation tasks, including text-to-image synthesis and image editing. Its Mixture-of-Transformer-Experts (MoT) architecture enables it to learn from diverse multimodal information.
Input
Output
Context
16K
Max Output
-
Parameters
14.7B
Technical Specifications
Model TypeChat
Context Window16,000 tokens
Max Output TokensNot available
Parameters14.7B
Release DateMay 19, 2025
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
TextImageAudio
Output Modalities
TextImageAudio
Capabilities
Estimated GPU Requirements for BAGEL 7B Mot
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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