TensorNet is highlighted. Neighbors are nearest-by-CKNNA on the selected reference dataset.
Click any italic label to jump to that model.
Layout: umap (n_neighbors=10, min_dist=0.25, metric=precomputed, seed=0) on the cknna distance (1 - sim) at k=25
across 30 foundation models. Marker area scales with parameter count;
hollow markers indicate a dens,
direct, or
invariant variant.
Italic labels link to a catalogued model page.
30 models · 5 families
Layout: umap (n_neighbors=10, min_dist=0.25, metric=precomputed, seed=0) on the cknna distance (1 - sim) at k=25
across 30 foundation models. Marker area scales with parameter count;
hollow markers indicate a dens,
direct, or
invariant variant.
Italic labels link to a catalogued model page.
30 models · 5 families
Layout: umap (n_neighbors=10, min_dist=0.25, metric=precomputed, seed=0) on the cknna distance (1 - sim) at k=25
across 33 foundation models. Marker area scales with parameter count;
hollow markers indicate a dens,
direct, or
invariant variant.
Italic labels link to a catalogued model page.
33 models · 6 families
Layout: umap (n_neighbors=10, min_dist=0.25, metric=precomputed, seed=0) on the cknna distance (1 - sim) at k=25
across 29 foundation models. Marker area scales with parameter count;
hollow markers indicate a dens,
direct, or
invariant variant.
Italic labels link to a catalogued model page.
29 models · 5 families