Oryx
Collection
Oryx: One Multi-Modal LLM for On-Demand Spatial-Temporal Understanding
•
6 items
•
Updated
•
16
Oryx-ViT
Model Summary
The Oryx-ViT model is trained on 200M data and can seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths.
- Repository: https://github.com/Oryx-mllm/Oryx
- Languages: English, Chinese
- Paper: https://arxiv.org/abs/2409.12961
Model Architecture
- Architecture: SigLip
- Data: a mixture of 200M data, 2 epoch
- Precision: BFloat16
Hardware & Software
- Hardware: 64 * NVIDIA Tesla A100
- Orchestration: HuggingFace Trainer
- Code: Pytorch
Citation
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Model tree for THUdyh/Oryx-ViT
Base model
google/siglip-so400m-patch14-384