AI models
VILA1.5-13B
Training compute
2.3×10²¹ FLOP
Parameters
13.5B
Published
May 3, 2024
VILA1.5-13B is an AI model developed by NVIDIA and Massachusetts Institute of Technology (MIT) (United States), first published in May 2024. It works in the multimodal, language, vision and video domain, on tasks such as chat, visual question answering, image captioning and 2 more.
Training it took an estimated 2.3×10²¹ FLOP of compute. The model has 13,493,916,736 parameters. It was trained on roughly 32.4B datapoints. Training ran on 128 NVIDIA A100.
Access: Open weights (non-commercial). Its weights are openly available. It is built on top of SigLIP 400M,Vicuna-13B-v1.5. The reference paper has 827 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- NVIDIA, Massachusetts Institute of Technology (MIT)
- Country of organization
- United States
- Domain
- Multimodal, Language, Vision, Video
- Task
- Chat, Visual question answering, Image captioning, Language modeling/generation, Question answering
- Training compute
- 2.3×10²¹ FLOP
- Parameters
- 13,493,916,736
- Dataset size
- 32.4B
- Training hardware
- NVIDIA A100
- Chips used
- 128
- Training power draw
- 101.2 kW
- Numerical format
- BF16
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Base model
- SigLIP 400M, Vicuna-13B-v1.5
- Citations
- 827
- Epoch confidence
- Confident
More from NVIDIA,Massachusetts Institute of Technology (MIT)
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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