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.
opensearch-neural-sparse-encoding-doc-v2-distillopensearch-neural-sparse-encoding-multilingual-v1opensearch-neural-sparse-encoding-doc-v2-miniopensearch-neural-sparse-encoding-doc-v3-distillopensearch-neural-sparse-encoding-v2-distillopensearch-neural-sparse-encoding-doc-v3-gteopensearch-neural-sparse-encoding-v1linkup-sparseup-embed-v1opensearch-neural-sparse-encoding-doc-v1sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-11-hook_mlp_out-l1-5e-05opensearch-neural-sparse-encoding-doc-v2-mini-GGUFprosparse-llama-2-7bsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-10-hook_mlp_out-l1-1e-05opensearch-neural-sparse-encoding-v2-distill-GGUFopensearch-neural-sparse-encoding-doc-v2-distill-GGUFopensearch-neural-sparse-encoding-doc-v2-minisparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-0-hook_mlp_out-l1-0.0001prosparse-llama-2-7b-ggufsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-2-hook_mlp_out-l1-8e-05sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-5-hook_mlp_out-l1-0.0001sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-7-hook_mlp_out-l1-5e-05sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-8-hook_mlp_out-l1-0.0001esm2-35m-sparse50prosparse-llama-2-13b-ggufbge-small-en-v1.5-sparsebge-large-en-v1.5-sparsebge-base-en-v1.5-sparsegte-large-sparsebert-large-uncased-sparse-90-unstructured-pruneofa-argumentativewritingprosparse-llama-2-13b
