AI models
Emu2
Parameters
37B
Published
May 8, 2024
Emu2 is an AI model developed by Beijing Academy of Artificial Intelligence / BAAI, Tsinghua University and Peking University (China), first published in May 2024. It works in the multimodal, language, vision and image generation domain, on tasks such as language modeling/generation, question answering, visual question answering and 2 more.
Epoch AI has no training-compute estimate for this model. The model has 37,000,000,000 parameters.
Access: Open weights (non-commercial). Its weights are openly available. It is built on top of LLaMA-33B,Stable Diffusion XL (SDXL). Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Beijing Academy of Artificial Intelligence / BAAI, Tsinghua University, Peking University
- Country of organization
- China
- Domain
- Multimodal, Language, Vision, Image generation
- Task
- Language modeling/generation, Question answering, Visual question answering, Image generation, Text-to-image
- Parameters
- 37,000,000,000
- Numerical format
- BF16
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Base model
- LLaMA-33B, Stable Diffusion XL (SDXL)
- Epoch confidence
- Confident
More from Beijing Academy of Artificial Intelligence / BAAI,Tsinghua University,Peking University
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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