AI models
CLIP ViT-H/14 - LAION-2B
Training compute
7.8×10²² FLOP
Parameters
986M
Published
Sep 15, 2022
CLIP ViT-H/14 - LAION-2B is an AI model developed by LAION (Germany), first published in September 2022. It works in the vision domain, on tasks such as image classification.
Training it took an estimated 7.8×10²² FLOP of compute (estimation method: hardware). The model has 986,000,000 parameters. It was trained on roughly 11.6B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- LAION
- Country of organization
- Germany
- Domain
- Vision
- Task
- Image classification
- Training compute
- 7.8×10²² FLOP
- Compute estimation method
- Hardware
- Parameters
- 986,000,000
- Dataset size
- 11.6B
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
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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