comfyanonymous

/

clip_vision_g

like 54

I get this when queuing from your example :

Error occurred when executing CLIPVisionLoader:

Error(s) in loading state_dict for CLIPVisionModelWithProjection:
size mismatch for vision_model.embeddings.class_embedding: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.embeddings.patch_embedding.weight: copying a param with shape torch.Size([1664, 3, 14, 14]) from checkpoint, the shape in current model is torch.Size([1280, 3, 14, 14]).
size mismatch for vision_model.embeddings.position_embedding.weight: copying a param with shape torch.Size([257, 1664]) from checkpoint, the shape in current model is torch.Size([257, 1280]).
size mismatch for vision_model.pre_layrnorm.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.pre_layrnorm.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.0.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.0.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.0.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.0.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.0.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.1.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.1.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.1.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.1.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.1.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.2.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.2.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.2.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.2.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.2.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.3.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.3.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.3.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.3.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.3.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.4.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.4.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.4.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.4.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.4.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.5.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.5.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.5.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.5.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.5.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.6.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.6.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.6.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.6.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.6.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.7.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.7.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.7.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.7.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.7.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.8.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.8.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.8.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.8.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.8.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.9.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.9.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.9.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.9.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.9.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.10.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.10.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.10.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.10.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.10.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.11.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.11.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.11.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.11.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.11.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.12.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.12.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.12.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.12.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.12.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.13.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.13.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.13.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.13.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.13.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.14.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.14.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.14.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.14.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.14.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.15.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.15.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.15.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.15.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.15.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.16.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.16.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.16.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.16.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.16.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.17.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.17.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.17.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.17.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.17.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.18.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.18.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.18.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.18.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.18.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.19.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.19.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.19.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.19.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.19.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.20.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.20.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.20.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.20.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.20.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.21.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.21.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.21.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.21.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.21.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.22.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.22.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.22.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.22.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.22.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.23.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.23.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.23.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.23.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.23.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.24.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.24.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.24.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.24.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.24.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.25.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.25.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.25.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.25.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.25.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.26.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.26.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.26.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.26.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.26.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.27.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.27.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.27.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.27.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.27.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.28.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.28.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.28.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.28.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.28.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.29.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.29.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.29.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.29.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.29.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.30.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.30.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.30.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.30.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.30.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.k_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.k_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.v_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.v_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.q_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.q_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.out_proj.weight: copying a param with shape torch.Size([1664, 1664]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for vision_model.encoder.layers.31.self_attn.out_proj.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.layer_norm1.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.layer_norm1.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.mlp.fc1.weight: copying a param with shape torch.Size([8192, 1664]) from checkpoint, the shape in current model is torch.Size([5120, 1280]).
size mismatch for vision_model.encoder.layers.31.mlp.fc1.bias: copying a param with shape torch.Size([8192]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for vision_model.encoder.layers.31.mlp.fc2.weight: copying a param with shape torch.Size([1664, 8192]) from checkpoint, the shape in current model is torch.Size([1280, 5120]).
size mismatch for vision_model.encoder.layers.31.mlp.fc2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.layer_norm2.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.encoder.layers.31.layer_norm2.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.post_layernorm.weight: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for vision_model.post_layernorm.bias: copying a param with shape torch.Size([1664]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for visual_projection.weight: copying a param with shape torch.Size([1280, 1664]) from checkpoint, the shape in current model is torch.Size([1024, 1280]).

File "/Users/gbkm1max/ComfyUI/execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/Users/gbkm1max/ComfyUI/execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/Users/gbkm1max/ComfyUI/execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/Users/gbkm1max/ComfyUI/nodes.py", line 727, in load_clip
clip_vision = comfy.clip_vision.load(clip_path)
File "/Users/gbkm1max/ComfyUI/comfy/clip_vision.py", line 74, in load
return load_clipvision_from_sd(sd)
File "/Users/gbkm1max/ComfyUI/comfy/clip_vision.py", line 63, in load_clipvision_from_sd
m, u = clip.load_sd(sd)
File "/Users/gbkm1max/ComfyUI/comfy/clip_vision.py", line 24, in load_sd
return self.model.load_state_dict(sd, strict=False)
File "/Users/gbkm1max/.pyenv/versions/3.9.2/lib/python3.9/site-packages/torch/nn/modules/module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(