[Bug]: CLIPLoader error

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#339 opened on Nov 28, 2025 10 comments 2 reactions 0 assignees View on GitHub
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Assessment

Difficulty: 4/5
Estimated time: 3-5 days
Newbie friendliness: 25/100
Issue type: Bug
Clarity: Needs clarification
Activity status: Stale
Domain: machine-learning
Research direction

Start by reproducing the workflow from the attached JSON and reviewing the CLIPLoader error alongside the Llama2 state-dictionary shapes in the debug log. Determine which model configuration the workflow expects and verify the selected checkpoint matches it. Done means the workflow loads the model without size-mismatch errors.
Written by the indexing model from the issue text.
Description

Potential Bug
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

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])
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Avg merge: 7h 23m
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[Template Bug]: Z-Image-Turbo - Sub-optimal Negative input to K-sampler
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Comfy-Org/workflow_templates#931 · 2 comments · Opened Jun 7, 2026

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[Template Bug]: default generation is just noise
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bug

Difficulty 3/5 1-2 days Newbie friendliness 55/100

Comfy-Org/workflow_templates#1401 · 3 comments · 1 reaction · Opened Nov 8, 2026

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image_anima_lllite_image_inpainting: Painter mask references a [temp] file that is not shipped (FileNotFoundError)
Possibly taken @lin-bot23 claimed this 3 days ago. Open
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Difficulty 2/5 1-3 hours Newbie friendliness 42/100

Comfy-Org/workflow_templates#1392 · 2 comments · Opened Nov 1, 2026

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[Template Bug]: TripoSplat template Mesh artifacts from single-decode sampling — fixed by merging N decodes
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bug

Difficulty 4/5 3-5 days Newbie friendliness 35/100

Comfy-Org/workflow_templates#1372 · 2 comments · Opened Oct 22, 2026

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[Template Bug]: Reference to video with minimax h3 api not working
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bug

Difficulty 4/5 1-2 days Newbie friendliness 15/100

Comfy-Org/workflow_templates#1331 · 2 comments · Opened Oct 13, 2026

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All issues in Comfy-Org/workflow_templates
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Wallet functions throws TypeError when the wallet has no account ID
Possibly taken @Medhansh-741 claimed this today. Open
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bug

Difficulty 2/5 1-3 hours Newbie friendliness 75/100

hiero-ledger/hiero-sdk-js#4781 · 1 comment · Opened Nov 14, 2026

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Cacher les pages de développement en production
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good first issue

Difficulty 2/5 1-3 hours Newbie friendliness 78/100

dataforgoodfr/mediterranean-rescue#91 · Opened Nov 14, 2026

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transformer-directives: `@apply` drops a utility whose CSS is a substring of an earlier one's
Possibly taken A pull request linked to this issue is open or already merged. Open
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Difficulty 2/5 1-3 hours Newbie friendliness 75/100

unocss/unocss#5464 · Opened Nov 14, 2026

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Add: KRT TV
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approved check:passed streams:add

Difficulty 1/5 Under an hour Newbie friendliness 65/100

iptv-org/iptv#58647 · 1 comment · Opened Nov 14, 2026

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fix(chat): a bot file link still fails when attach_file renamed the file, so the delivered copy is never found
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Difficulty 2/5 1-3 hours Newbie friendliness 62/100

milind-soni/OpenMausBot#5829 · Opened Nov 14, 2026

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More TypeScript issues
[Bug]: CLIPLoader error

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Description

ComfyUI and Frontend Versions

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Setting JSON

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