---
license: mit
---

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).