Emu3-Chat is a multimodal model developed by BAAI that treats image, video, and text as sequences of tokens within a single transformer. It supports both understanding and generation across modalities using a next-token prediction approach. The model is provided in Hugging Face format for research and local experimentation.
Emu3 Chat Hf sits in PulseGate's Foundation models & chat category. It focuses on enabling unified multimodal generation and understanding (text, image, video) within a single next-token prediction architecture. It is built as an open-source project for developers. Emu3 Chat Hf is open source under the Apache-2.0 license. It runs on the web and the command line.
It is developed by BAAI, and the product first shipped in 2024. Development happens publicly on GitHub with 2.4k stars. Key capabilities include any-to-any generation, unified next-token prediction, and multimodal understanding.
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