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Pretrained Weights

This release tag is being used to host weights for various models trained with this codebase.

NOTE: The one included metric, zero-shot top-1 on ImageNet-1k does capture the full characteristics of the given pretrained weights. Evaluation on a broader set of zero-shot and validation tasks is required for a full comparison.

model	dataset	weights	In1k zero-shot top-1
RN50	CC12M	rn50-quickgelu-cc12m	36.45
RN50	YFCC15M	rn50-quickgelu-yfcc15m	32.73
RN101	YFCC15M	rn101-quickgelu-yfcc15m	34.86
ViT-B-32	LAION-400M	vit_b_32-quickgelu-laion400m_e31	62.96
ViT-B-32	LAION-400M	vit_b_32-quickgelu-laion400m_e32	62.94
ViT-B-32	LAION-2B	vit_b_32-laion2b_e16	65.62
ViT-B-16	LAION-400M	vit_b_16-laion400m_e31	66.98
ViT-B-16	LAION-400M	vit_b_16-laion400m_e32	67.07
ViT-B-16-plus-240	LAION-400M	vit_b_16-laion400m_e31	69.06
ViT-B-16-plus-240	LAION-400M	vit_b_16-laion400m_e32	69.21
ViT-L-14	LAION-400M	vit_b_14-laion400m_e31	72.70
ViT-L-14	LAION-400M	vit_b_14-laion400m_e32	72.77