openMaMMUT/openCLIP models and scaling laws
Collection
openMaMMUT/openCLIP models trained on DataComp-1.4B, DFN-1.4B and Re-LAION-2B. Pre-trained models on various scales, incl. intermediate checkpoints • 12 items • Updated
• 1
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)
Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets [arXiv] [NeurIPS 2025]
We provide pre-trained models across various scales (model scales: S/32 - H/14; samples seen scales: 1.28M - 3.07B; datasets: Re-LAION 1.4B, DataComp 1.4B, DFN-1.4B), including all the intermediate checkpoints during the training, used in the paper Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets [arXiv], [NeurIPS 2025] Please refer to the official Github repository for more information about how to reproduce the results download and use the models.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support