Parameter mismatch

[clxia12]

Thank you for your work.

When I tried to use the script you provided to infer images, I encountered the following error. Can you provide a correct parameter configuration file?

error info: size mismatch for image_encoder.blocks.22.mlp.lin1.bias: copying a param with shape torch.Size([4096]) from checkpoint, the shape in current model is torch.Size([5120]). size mismatch for image_encoder.blocks.22.mlp.lin2.weight: copying a param with shape torch.Size([1024, 4096]) from checkpoint, the shape in current model is torch.Size([1280, 5120]). size mismatch for image_encoder.blocks.22.mlp.lin2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([1280]). size mismatch for image_encoder.blocks.23.norm1.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([1280]). size mismatch for image_encoder.blocks.23.norm1.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([1280]). size mismatch for image_encoder.blocks.23.attn.rel_pos_h: copying a param with shape torch.Size([127, 64]) from checkpoint, the shape in current model is torch.Size([127, 80]). size mismatch for image_encoder.blocks.23.attn.rel_pos_w: copying a param with shape torch.Size([127, 64]) from checkpoint, the shape in current model is torch.Size([127, 80]). size mismatch for image_encoder.blocks.23.attn.qkv.weight: copying a param with shape torch.Size([3072, 1024]) from checkpoint, the shape in current model is torch.Size([3840, 1280]). size mismatch for image_encoder.blocks.23.attn.qkv.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([3840]). size mismatch for image_encoder.blocks.23.attn.proj.weight: copying a param with shape torch.Size([1024, 1024]) from checkpoint, the shape in current model is torch.Size([1280, 1280]). size mismatch for image_encoder.blocks.23.attn.proj.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([1280]). size mismatch for image_encoder.blocks.23.norm2.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([1280]). size mismatch for image_encoder.blocks.23.norm2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([1280]). size mismatch for image_encoder.blocks.23.mlp.lin1.weight: copying a param with shape torch.Size([4096, 1024]) from checkpoint, the shape in current model is torch.Size([5120, 1280]). size mismatch for image_encoder.blocks.23.mlp.lin1.bias: copying a param with shape torch.Size([4096]) from checkpoint, the shape in current model is torch.Size([5120]). size mismatch for image_encoder.blocks.23.mlp.lin2.weight: copying a param with shape torch.Size([1024, 4096]) from checkpoint, the shape in current model is torch.Size([1280, 5120]). size mismatch for image_encoder.blocks.23.mlp.lin2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([1280]). size mismatch for image_encoder.neck.0.weight: copying a param with shape torch.Size([256, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 1280, 1, 1]).