OpenModelStats

timm AI Models

Tracked by OpenModelStats since Aug 23, 2026 · View on Hugging Face ↗

Tracked models
788
Downloads 30D
49.6M
Total downloads
2.3B
Total likes
1,365
Gained 7D
13M

Most downloaded

  1. 1mobilenetv3_small_100.lamb_in1kOct 19, 202521.7M
  2. 2resnet18.a1_in1kJan 21, 20252.2M
  3. 3vit_small_patch14_dinov2.lvd142mJan 21, 20251.7M
  4. 4tf_efficientnetv2_s.in21k_ft_in1kJan 21, 20251.7M
  5. 5resnet50.a1_in1kJul 11, 20251.6M
  6. 6efficientnet_b0.ra_in1kJan 21, 20251M
  7. 7repvgg_a0.rvgg_in1kJan 21, 2025751.4K
  8. 8vit_base_patch14_dinov2.lvd142mJan 21, 2025704.1K
  9. 9convnext_tiny.in12k_ft_in1kJan 21, 2025669.4K
  10. 10resnet34.a1_in1kJan 21, 2025618.3K

Fastest growing

  1. 1mobilenetv3_small_100.lamb_in1k+5.9M in 7D21.7M
  2. 2resnet18.a1_in1k+564.5K in 7D2.2M
  3. 3tf_efficientnetv2_s.in21k_ft_in1k+541.3K in 7D1.7M
  4. 4resnet50.a1_in1k+437.3K in 7D1.6M
  5. 5vit_small_patch14_dinov2.lvd142m+365.5K in 7D1.7M
  6. 6efficientnet_b0.ra_in1k+274K in 7D1M
  7. 7vit_base_patch14_reg4_dinov2.lvd142m+183.8K in 7D406.4K
  8. 8efficientnet_b3.ra2_in1k+174.6K in 7D578.8K
  9. 9convnext_tiny.in12k_ft_in1k+173.9K in 7D669.4K
  10. 10repvgg_a0.rvgg_in1k+168.1K in 7D751.4K

Recently updated

  1. 1qwen3_vit_306m_merge.qwen_drive_1_0_4bSep 17, 202637
  2. 2qwen3_vit_306m_enc.qwen_drive_1_0_4bSep 17, 202658
  3. 3qwen3_vit_306m.qwen_drive_1_0_4bSep 17, 202651
  4. 4deepseek_vit_412m_enc.deepseek_v4_flash_vision_expSep 11, 202621
  5. 5deepseek_vit_412m_enc.deepseek_v4_1_flashSep 11, 20263
  6. 6deepseek_vit_412m_align.deepseek_v4_flash_vision_expSep 11, 20263
  7. 7deepseek_vit_412m_align.deepseek_v4_1_flashSep 11, 20268
  8. 8deepseek_vit_412m.deepseek_v4_flash_vision_expSep 11, 20263
  9. 9deepseek_vit_412m.deepseek_v4_1_flashSep 11, 2026272
  10. 10efficientvim_m4_dist.in1kSep 11, 20268

All models

All tracked models published by timm
ModelDL 30D7D
convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384timm/convnext_base.clip_laion2b_augreg_ft_in12k_in1k_38412.5K+1,000
efficientnet_b1.ft_in1ktimm/efficientnet_b1.ft_in1k12.2K+7,378
mobilenetv2_120d.ra_in1ktimm/mobilenetv2_120d.ra_in1k12.2K+1,489
ViT-SO400M-14-SigLIP2-378timm/vit-so400m-14-siglip2-37812.2K+3,926
ViT-B-16-SigLIP2-384timm/vit-b-16-siglip2-38412.1K+5,251
mobilenetv3_small_075.lamb_in1ktimm/mobilenetv3_small_075.lamb_in1k11.8K+2,521
efficientnet_b5.sw_in12k_ft_in1ktimm/efficientnet_b5.sw_in12k_ft_in1k11.7K+4,210
densenet121.tv_in1ktimm/densenet121.tv_in1k11.7K+2,172
inception_v3.tf_adv_in1ktimm/inception_v3.tf_adv_in1k11.6K+2,995
vit_large_patch16_dinov3.sat493mtimm/vit_large_patch16_dinov3.sat493m11.2K+3,346
regnety_008.pycls_in1ktimm/regnety_008.pycls_in1k11.1K+1,943
fastvit_t8.apple_dist_in1ktimm/fastvit_t8.apple_dist_in1k10.8K+2,764
tf_efficientnet_b2.ns_jft_in1ktimm/tf_efficientnet_b2.ns_jft_in1k10.7K+2,784
PE-Core-B-16timm/pe-core-b-1610.7K+1,950
mobilevit_xxs.cvnets_in1ktimm/mobilevit_xxs.cvnets_in1k10.6K+1,533
ViT-B-16-SigLIP-512timm/vit-b-16-siglip-51210.3K+2,048
vit_large_patch16_384.augreg_in21k_ft_in1ktimm/vit_large_patch16_384.augreg_in21k_ft_in1k10.3K+3,028
vit_base_patch32_224.augreg_in21k_ft_in1ktimm/vit_base_patch32_224.augreg_in21k_ft_in1k10.1K+1,939
swin_large_patch4_window7_224.ms_in22k_ft_in1ktimm/swin_large_patch4_window7_224.ms_in22k_ft_in1k10K+2,220
mobilenetv4_conv_medium.e250_r384_in12k_ft_in1ktimm/mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k9,928+624
eva02_large_patch14_clip_224.merged2b_s4b_b131ktimm/eva02_large_patch14_clip_224.merged2b_s4b_b131k9,839+2,250
PE-Core-bigG-14-448timm/pe-core-bigg-14-4489,759+2,189
swinv2_base_window12_192.ms_in22ktimm/swinv2_base_window12_192.ms_in22k9,692—
vit_base_patch16_clip_224.laion400m_e32timm/vit_base_patch16_clip_224.laion400m_e329,671+3,466
ViT-L-16-SigLIP2-256timm/vit-l-16-siglip2-2569,562+1,279