How to load pretrained EVA-02 model if the input size is 512x512 instead of 256x256?

[yfhdm]

size mismatch for rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.0.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.0.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.1.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.1.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.2.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.2.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.3.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.3.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.4.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.4.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.5.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.5.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.6.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.6.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.7.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.7.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.8.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.8.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.9.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.9.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.10.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.10.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.11.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.11.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.12.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.12.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.13.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.13.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.14.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.14.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.15.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.15.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.16.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.16.attn.rope.freqs_sin: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).
size mismatch for blocks.17.attn.rope.freqs_cos: copying a param with shape torch.Size([16, 16, 64]) from checkpoint, the shape in current model is torch.Size([32, 32, 64]).