EVA-CLIP (EVA-02-CLIP-E/14+)

Training compute

3.5×10²² FLOP

Parameters

5B

Published

Mar 27, 2023

EVA-CLIP (EVA-02-CLIP-E/14+) is an AI model developed by Beijing Academy of Artificial Intelligence / BAAI and Huazhong University of Science and Technology (China), first published in March 2023. It works in the vision domain, on tasks such as image classification.

Training it took an estimated 3.5×10²² FLOP of compute (estimation method: operation counting). The model has 5,000,000,000 parameters. Training ran on 144 NVIDIA RTX A1000.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Beijing Academy of Artificial Intelligence / BAAI, Huazhong University of Science and Technology
Country of organization: China
Domain: Vision
Task: Image classification
Training compute: 3.5×10²² FLOP
Compute estimation method: Operation counting
Parameters: 5,000,000,000
Training hardware: NVIDIA RTX A1000
Chips used: 144
Training power draw: 17.2 kW
Numerical format: BF16
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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