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GLM-4.5

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Hi, thank you for sharing the model. I am trying to load the model using transformers and I see that there is a mismatch in the number of layers.

Some weights of the model checkpoint at zai-org/GLM-4.5-Air were not used when initializing Glm4MoeForCausalLM: ['model.layers.46.eh_proj.weight', 'model.layers.46.embed_tokens.weight', 'model.layers.46.enorm.weight', 'model.layers.46.hnorm.weight', 'model.layers.46.input_layernorm.weight', 'model.layers.46.mlp.experts.0.down_proj.weight', 'model.layers.46.mlp.experts.0.gate_proj.weight', 'model.layers.46.mlp.experts.0.up_
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- This IS expected if you are initializing Glm4MoeForCausalLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing Glm4MoeForCausalLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).

Based on model.safetensors.index.json, there are 47 layers, but in config.json, there are only 46 layers. Is this intentional?

Thanks.