Two versions of the BLT-VS model (see: https://github.com/KietzmannLab/BLT-VS) are available.
Model 1: blt_vs_slt_111_biounroll_1_t_12_readout_multi_dataset_ecoset_num_1 (trained on Imagenet-1k; ILSVRC)
timesteps=12, num_classes=1000, add_feats=100, lateral_connections=True, topdown_connections=True, skip_connections=True, bio_unroll=True, image_size=224, hook_type='None', readout_type='multi'
Model 2: blt_vs_slt_111_biounroll_0_t_6_readout_multi_dataset_imagenet_num_1 (trained on Ecoset-565 - https://huggingface.co/datasets/kietzmannlab/ecoset)
timesteps=6, num_classes=565, add_feats=100, lateral_connections=True, topdown_connections=True, skip_connections=True, bio_unroll=False, image_size=224, hook_type='None', readout_type='multi'
Additionally, the b_vs, vNet, and rn50 trained models are also available (see https://github.com/KietzmannLab/BLT-VS/tree/main/blt_vs_model/training_code/models for model definitions).