diff --git a/vim/models_mamba.py b/vim/models_mamba.py
index 3be8bb15..b7314fe4 100644
--- a/vim/models_mamba.py
+++ b/vim/models_mamba.py
@@ -607,7 +607,7 @@ def vim_small_patch16_stride8_224_bimambav2_final_pool_mean_abs_pos_embed_with_m
 @register_model
 def vim_base_patch16_224_bimambav2_final_pool_mean_abs_pos_embed_with_middle_cls_token_div2(pretrained=False, **kwargs):
     model = VisionMamba(
-        patch_size=16, embed_dim=768, d_state=16, depth=24, rms_norm=True, residual_in_fp32=True, fused_add_norm=True, final_pool_type='mean', if_abs_pos_embed=True, if_rope=False, if_rope_residual=False, bimamba_type="v2", if_cls_token=True, if_devide_out=True, use_middle_cls_token=True, **kwargs)
+        patch_size=16, embed_dim=768, d_state=16, depth=24, rms_norm=True, residual_in_fp32=True, fused_add_norm=True, final_pool_type='mean', if_abs_pos_embed=True, if_rope=False, if_rope_residual=False, bimamba_type="v2", if_cls_token=True, if_divide_out=True, use_middle_cls_token=True, **kwargs)
     model.default_cfg = _cfg()
     if pretrained:
         checkpoint = torch.hub.load_state_dict_from_url(