models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
clip-vit-base-patch32_mnistmfaqclip-vision-model-tinyTaiyi-CLIP-RoBERTa-102M-ViT-L-Chinese-i1-GGUFM3D-CLIPTaiyi-CLIP-RoBERTa-102M-ViT-L-Chinese-GGUFsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-11-hook_mlp_out-l1-5e-05clip-vit-large-patch14_mnistsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-10-hook_mlp_out-l1-1e-05sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-0-hook_mlp_out-l1-0.0001sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-2-hook_mlp_out-l1-8e-05clips-mfaq-testsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-5-hook_mlp_out-l1-0.0001sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-8-hook_mlp_out-l1-0.0001clip-vitb-mini-distilledsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-7-hook_mlp_out-l1-5e-05M-BERT-Distil-40M-BERT-Base-ViT-BSwedish-2MSwedish-500kclip-ViT-B-32-multilingual-v1-ONNXsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-2-hook_mlp_out-l1-5e-05sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-11-hook_mlp_out-l1-1e-05M-BERT-Base-69m-bert-base-ViT-B-32-trained-mclip-datasparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-1-hook_resid_post-l1-8e-05sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-11-hook_resid_post-l1-0.0001sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-11-hook_mlp_out-l1-8e-05sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-0-hook_resid_post-l1-0.0001sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-6-hook_resid_post-l1-1e-05