MobileCLIP2
MobileCLIP2: Mobile-friendly image-text models with SOTA zero-shot capabilities trained on DFNDR-2B
- Paper • 2508.20691 • Published • 9
-
apple/MobileCLIP2-S0
Updated • 113 • 50 -
apple/MobileCLIP2-S2
Updated • 92 • 20 -
apple/MobileCLIP2-B
Updated • 25 • 4 -
apple/MobileCLIP2-S3
Updated • 27 • 6 -
apple/MobileCLIP2-S4
Updated • 48 • 16
apple/MobileCLIP2-L-14
Updated • 17 • 4Note Timm ViT-L/14 architecture trained on DFNDR-2B (dataset of MobileCLIP2)
apple/MobileCLIP-S3
Updated • 23 • 5Note New architecture introduced in MobileCLIP2 paper but pretrained on DataCompDR (dataset of MobileCLIP v1)
apple/MobileCLIP-S4
Updated • 24 • 12Note New architecture introduced in MobileCLIP2 paper but pretrained on DataCompDR (dataset of MobileCLIP v1)
apple/MobileCLIP-L-14
Updated • 15 • 1Note Timm ViT-L/14 architecture pretrained on DataCompDR (dataset of MobileCLIP v1)
timm/MobileCLIP2-S0-OpenCLIP
Zero-Shot Image Classification • Updated • 13k • 2Note 👇Timm checkpoints
-
timm/MobileCLIP2-S2-OpenCLIP
Zero-Shot Image Classification • Updated • 10.1k • 5 -
timm/MobileCLIP2-B-OpenCLIP
Zero-Shot Image Classification • Updated • 4.92k • 1 -
timm/MobileCLIP2-S3-OpenCLIP
Zero-Shot Image Classification • Updated • 3.23k • 3 -
timm/MobileCLIP2-S4-OpenCLIP
Zero-Shot Image Classification • Updated • 44.8k • 2 -
timm/MobileCLIP2-L-14-OpenCLIP
Zero-Shot Image Classification • Updated • 653 • 2
apple/mobileclip2_coca_dfn2b_s13b_mscoco38k_s12m_context77
Updated • 7 • 1Note 👇MobileCLIP2 CoCa models for synthetic caption generation used to train MobileCLIP2 models
-
apple/mobileclip2_coca_dfn2b_s13b_gbc1m-short_context77
Updated • 7 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_docci_s12m_context77
Updated • 6 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-short_s12m_context77
Updated • 4 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-extended_s12m_context77
Updated • 4 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-complete_s12m_context77
Updated • 6 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_recap-coco-30k_s12m_context77
Updated • 12 • 1
apple/mobileclip2_coca_dfn2b_s13b_docci_s12m_context256
Updated • 5 • 1Note 👇MobileCLIP2 CoCa models (context length=256). Higher chance of generating repeated output.
-
apple/mobileclip2_coca_dfn2b_s13b_dci-complete_s12m_context256
Updated • 6 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-extended_s12m_context256
Updated • 5 • 1
apple/mobileclip2_coca_dfn2b_s13b_context77
Updated • 6 • 1Note MobileCLIP2 CoCa base model. It can be used for fine-tuning new CoCa models on high quality datasets.
apple/DFNDR-12M
Viewer • Updated • 12.8M • 1.14k • 5Note 👇DFNDR: MobileCLIP2 Pretraining datasets
-
apple/DFNDR-12M-bf16
Viewer • Updated • 12.8M • 179 • 3 -
apple/DFNDR-2B
Updated • 10.5k • 7