timm AI Models

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

Tracked models
786
Downloads 30D
50.2M
Total downloads
2.3B
Total likes
1,362
Gained 7D
13M

Most downloaded

  1. 1mobilenetv3_small_100.lamb_in1kOct 19, 202522.3M
  2. 2resnet18.a1_in1kJan 21, 20252.2M
  3. 3vit_small_patch14_dinov2.lvd142mJan 21, 20251.7M
  4. 4tf_efficientnetv2_s.in21k_ft_in1kJan 21, 20251.6M
  5. 5resnet50.a1_in1kJul 11, 20251.6M
  6. 6efficientnet_b0.ra_in1kJan 21, 20251M
  7. 7repvgg_a0.rvgg_in1kJan 21, 2025713.9K
  8. 8vit_base_patch14_dinov2.lvd142mJan 21, 2025703.8K
  9. 9convnext_tiny.in12k_ft_in1kJan 21, 2025666K
  10. 10efficientnet_b3.ra2_in1kJan 21, 2025645.5K

Fastest growing

  1. 1mobilenetv3_small_100.lamb_in1k+5.9M in 7D22.3M
  2. 2resnet18.a1_in1k+564.5K in 7D2.2M
  3. 3tf_efficientnetv2_s.in21k_ft_in1k+541.3K in 7D1.6M
  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 7D401.6K
  8. 8efficientnet_b3.ra2_in1k+174.6K in 7D645.5K
  9. 9convnext_tiny.in12k_ft_in1k+173.9K in 7D666K
  10. 10repvgg_a0.rvgg_in1k+168.1K in 7D713.9K

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
convnextv2_base.fcmae_ft_in22k_in1ktimm/convnextv2_base.fcmae_ft_in22k_in1k117.3K+30.6K
vit_so400m_patch16_siglip_256.v2_weblitimm/vit_so400m_patch16_siglip_256.v2_webli112K+36.1K
beitv2_base_patch16_224.in1k_ft_in22ktimm/beitv2_base_patch16_224.in1k_ft_in22k110.6K+25.6K
convnext_base.clip_laion2b_augreg_ft_in12k_in1ktimm/convnext_base.clip_laion2b_augreg_ft_in12k_in1k106.3K+26.2K
convnext_large.fb_in22k_ft_in1k_384timm/convnext_large.fb_in22k_ft_in1k_384103.6K+43.1K
tf_mobilenetv3_small_minimal_100.in1ktimm/tf_mobilenetv3_small_minimal_100.in1k100.6K+25.9K
densenet121.ra_in1ktimm/densenet121.ra_in1k100.6K+22K
convnext_small.in12k_ft_in1ktimm/convnext_small.in12k_ft_in1k100K+18.6K
efficientnetv2_rw_m.agc_in1ktimm/efficientnetv2_rw_m.agc_in1k99.9K+47.2K
resnet50d.ra2_in1ktimm/resnet50d.ra2_in1k98.2K+20.9K
mobilenetv3_large_100.ra_in1ktimm/mobilenetv3_large_100.ra_in1k95.7K+25.7K
tf_efficientnetv2_s.in21ktimm/tf_efficientnetv2_s.in21k93.9K+24.3K
convnext_tiny.in12ktimm/convnext_tiny.in12k90.8K+32.8K
convnext_small.fb_in22k_ft_in1ktimm/convnext_small.fb_in22k_ft_in1k89.2K+21.5K
maxvit_nano_rw_256.sw_in1ktimm/maxvit_nano_rw_256.sw_in1k89.1K+32K
naflexvit_so400m_patch16_siglip.v2_weblitimm/naflexvit_so400m_patch16_siglip.v2_webli88.6K+17.1K
swin_base_patch4_window12_384.ms_in22k_ft_in1ktimm/swin_base_patch4_window12_384.ms_in22k_ft_in1k87.7K+16.6K
vit_large_patch16_224.maetimm/vit_large_patch16_224.mae85.7K+26.4K
vit_base_patch16_224.augreg_in21ktimm/vit_base_patch16_224.augreg_in21k83.5K+17.1K
ViT-B-16-SigLIP2timm/vit-b-16-siglip278.7K+14.7K
resnet34d.ra2_in1ktimm/resnet34d.ra2_in1k78.1K+18.2K
rexnet_150.nav_in1ktimm/rexnet_150.nav_in1k77.7K+20.3K
vit_base_patch16_224.dinotimm/vit_base_patch16_224.dino77.5K+22.8K
swin_base_patch4_window7_224.ms_in22k_ft_in1ktimm/swin_base_patch4_window7_224.ms_in22k_ft_in1k77.3K+17.2K
tf_efficientnet_b0.ns_jft_in1ktimm/tf_efficientnet_b0.ns_jft_in1k77.3K+18.3K