[Bug]: CLIPLoader error #339
Description
ComfyUI and Frontend Versions
Description
Just installed this using the Json and installed all the models etc however, I am getting this error
Steps to Reproduce
1
Debug Logs
Error(s) in loading state_dict for Llama2:
size mismatch for model.embed_tokens.weight: copying a param with shape torch.Size([151936, 2560]) from checkpoint, the shape in current model is torch.Size([128256, 4096]).
size mismatch for model.layers.0.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.0.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.0.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.0.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.0.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.0.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.0.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.0.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.0.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.1.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.1.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.1.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.1.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.1.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.1.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.1.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.1.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.1.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.2.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.2.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.2.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.2.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.2.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.2.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.2.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.2.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.2.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.3.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.3.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.3.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.3.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.3.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.3.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.3.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.3.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.3.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.4.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.4.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.4.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.4.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.4.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.4.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.4.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.4.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.4.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.5.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.5.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.5.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.5.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.5.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.5.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.5.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.5.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.5.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.6.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.6.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.6.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.6.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.6.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.6.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.6.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.6.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.6.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.7.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.7.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.7.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.7.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.7.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.7.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.7.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.7.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.7.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.8.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.8.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.8.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.8.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.8.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.8.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.8.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.8.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.8.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.9.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.9.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.9.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.9.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.9.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.9.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.9.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.9.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.9.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.10.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.10.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.10.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.10.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.10.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.10.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.10.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.10.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.10.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.11.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.11.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.11.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.11.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.11.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.11.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.11.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.11.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.11.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.12.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.12.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.12.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.12.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.12.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.12.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.12.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.12.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.12.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.13.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.13.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.13.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.13.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.13.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.13.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.13.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.13.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.13.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.14.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.14.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.14.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.14.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.14.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.14.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.14.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.14.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.14.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.15.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.15.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.15.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.15.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.15.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.15.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.15.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.15.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.15.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.16.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.16.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.16.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.16.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.16.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.16.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.16.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.16.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.16.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.17.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.17.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.17.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.17.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.17.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.17.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.17.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.17.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.17.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.18.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.18.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.18.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.18.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.18.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.18.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.18.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.18.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.18.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.19.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.19.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.19.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.19.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.19.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.19.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.19.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.19.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.19.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.20.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.20.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.20.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.20.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.20.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.20.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.20.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.20.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.20.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.21.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.21.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.21.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.21.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.21.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.21.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.21.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.21.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.21.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.22.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.22.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.22.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.22.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.22.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.22.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.22.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.22.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.22.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.23.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.23.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.23.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.23.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.23.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.23.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.23.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.23.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.23.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.24.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.24.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.24.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.24.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.24.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.24.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.24.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.24.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.24.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.25.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.25.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.25.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.25.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.25.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.25.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.25.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.25.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.25.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.26.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.26.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.26.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.26.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.26.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.26.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.26.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.26.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.26.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.27.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.27.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.27.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.27.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.27.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.27.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.27.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.27.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.27.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.28.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.28.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.28.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.28.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.28.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.28.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.28.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.28.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.28.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.29.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.29.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.29.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.29.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.29.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.29.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.29.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.29.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.29.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.30.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.30.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.30.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.30.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.30.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.30.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.30.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.30.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.30.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.31.self_attn.q_proj.weight: copying a param with shape torch.Size([4096, 2560]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.31.self_attn.k_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.31.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 2560]) from checkpoint, the shape in current model is torch.Size([1024, 4096]).
size mismatch for model.layers.31.self_attn.o_proj.weight: copying a param with shape torch.Size([2560, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
size mismatch for model.layers.31.mlp.gate_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.31.mlp.up_proj.weight: copying a param with shape torch.Size([9728, 2560]) from checkpoint, the shape in current model is torch.Size([14336, 4096]).
size mismatch for model.layers.31.mlp.down_proj.weight: copying a param with shape torch.Size([2560, 9728]) from checkpoint, the shape in current model is torch.Size([4096, 14336]).
size mismatch for model.layers.31.input_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.layers.31.post_attention_layernorm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096]).
size mismatch for model.norm.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([4096])Browser Logs
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