MobileCLIP2
MobileCLIP2: Mobile-friendly image-text models with SOTA zero-shot capabilities trained on DFNDR-2B
- Paper • 2508.20691 • Published • 9
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apple/MobileCLIP2-S0
Updated • 78 • 49 -
apple/MobileCLIP2-S2
Updated • 60 • 18 -
apple/MobileCLIP2-B
Updated • 22 • 4 -
apple/MobileCLIP2-S3
Updated • 27 • 6 -
apple/MobileCLIP2-S4
Updated • 31 • 15
apple/MobileCLIP2-L-14
Updated • 18 • 4Note Timm ViT-L/14 architecture trained on DFNDR-2B (dataset of MobileCLIP2)
apple/MobileCLIP-S3
Updated • 27 • 5Note New architecture introduced in MobileCLIP2 paper but pretrained on DataCompDR (dataset of MobileCLIP v1)
apple/MobileCLIP-S4
Updated • 36 • 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 • 8.56k • 1Note 👇Timm checkpoints
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timm/MobileCLIP2-S2-OpenCLIP
Zero-Shot Image Classification • Updated • 6.43k • 5 -
timm/MobileCLIP2-B-OpenCLIP
Zero-Shot Image Classification • Updated • 1.63k • 1 -
timm/MobileCLIP2-S3-OpenCLIP
Zero-Shot Image Classification • Updated • 2.58k • 3 -
timm/MobileCLIP2-S4-OpenCLIP
Zero-Shot Image Classification • Updated • 68.4k • 2 -
timm/MobileCLIP2-L-14-OpenCLIP
Zero-Shot Image Classification • Updated • 831 • 2
apple/mobileclip2_coca_dfn2b_s13b_mscoco38k_s12m_context77
Updated • 9 • 1Note 👇MobileCLIP2 CoCa models for synthetic caption generation used to train MobileCLIP2 models
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apple/mobileclip2_coca_dfn2b_s13b_gbc1m-short_context77
Updated • 9 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_docci_s12m_context77
Updated • 10 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-short_s12m_context77
Updated • 10 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-extended_s12m_context77
Updated • 6 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-complete_s12m_context77
Updated • 8 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_recap-coco-30k_s12m_context77
Updated • 13 • 1
apple/mobileclip2_coca_dfn2b_s13b_docci_s12m_context256
Updated • 6 • 1Note 👇MobileCLIP2 CoCa models (context length=256). Higher chance of generating repeated output.
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apple/mobileclip2_coca_dfn2b_s13b_dci-complete_s12m_context256
Updated • 9 • 1 -
apple/mobileclip2_coca_dfn2b_s13b_dci-extended_s12m_context256
Updated • 10 • 1
apple/mobileclip2_coca_dfn2b_s13b_context77
Updated • 10 • 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 • 3.57k • 5Note 👇DFNDR: MobileCLIP2 Pretraining datasets
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apple/DFNDR-12M-bf16
Viewer • Updated • 12.8M • 296 • 3 -
apple/DFNDR-2B
Updated • 5.08k • 7