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We're thrilled to present OneLLM, an ensembling Meta-Transformer framework with Multimodal Large Language Models, which performs multimodal joint training, supports more modalities including fMRI, Depth, and Normal Maps, and demonstrates very impressive performances on 25 benchmarks.
Features
- Single Foundation Model Supports A Wide Range of Applications
- Meta-Transformer is capable of handling up to 12 modalities
- Shared-Encoder, Unpaired Data, More Modalities
- Open-source Modality-Agnostic Models
- Demo of Use for Pretrained Encoder
- This project is released under the Apache 2.0 license
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow MetaTransformer
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