AI models
Oryx 7B
Parameters
7B
Published
Sep 19, 2024
Oryx 7B is an AI model developed by Tsinghua University, Tencent and Nanyang Technological University (China and Singapore), first published in September 2024. It works in the multimodal, vision and language domain, on tasks such as visual question answering, video compression and image captioning.
Epoch AI has no training-compute estimate for this model. The model has 7,000,000,000 parameters. Training ran on 64 NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen2-7B. The reference paper has 161 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Tsinghua University, Tencent, Nanyang Technological University
- Country of organization
- China, Singapore
- Domain
- Multimodal, Vision, Language
- Task
- Visual question answering, Video compression, Image captioning
- Parameters
- 7,000,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 64
- Training power draw
- 50.4 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Qwen2-7B
- Citations
- 161
- Epoch confidence
- Confident
More from Tsinghua University,Tencent,Nanyang Technological 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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