runtime error

Exit code: 1. Reason: f_attn.v_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.25.self_attn.k_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.25.self_attn.v_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.26.self_attn.k_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.26.self_attn.v_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.27.self_attn.k_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.27.self_attn.v_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.28.self_attn.k_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.28.self_attn.v_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.29.self_attn.k_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). size mismatch for model.layers.29.self_attn.v_proj.weight: copying a param with shape torch.Size([192, 576]) from checkpoint, the shape in current model is torch.Size([576, 576]). You may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` method.

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