Model Parameter Distribution:
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model.embed_tokens.weight: 155,582,464 parameters, device cuda:0
model.layers.0.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.0.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.0.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.0.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.0.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.0.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.0.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.0.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.0.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.0.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.1.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.1.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.1.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.1.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.1.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.1.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.1.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.1.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.1.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.1.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.2.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.2.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.2.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.2.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.2.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.2.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.2.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.2.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.2.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.2.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.3.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.3.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.3.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.3.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.3.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.3.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.3.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.3.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.3.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.3.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.4.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.4.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.4.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.4.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.4.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.4.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.4.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.4.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.4.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.4.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.5.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.5.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.5.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.5.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.5.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.5.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.5.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.5.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.5.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.5.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.6.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.6.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.6.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.6.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.6.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.6.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.6.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.6.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.6.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.6.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.7.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.7.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.7.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.7.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.7.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.7.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.7.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.7.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.7.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.7.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.8.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.8.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.8.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.8.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.8.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.8.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.8.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.8.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.8.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.8.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.9.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.9.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.9.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.9.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.9.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.9.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.9.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.9.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.9.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.9.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.10.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.10.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.10.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.10.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.10.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.10.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.10.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.10.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.10.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.10.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.11.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.11.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.11.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.11.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.11.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.11.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.11.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.11.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.11.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.11.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.12.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.12.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.12.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.12.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.12.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.12.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.12.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.12.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.12.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.12.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.13.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.13.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.13.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.13.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.13.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.13.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.13.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.13.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.13.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.13.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.14.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.14.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.14.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.14.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.14.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.14.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.14.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.14.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.14.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
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model.layers.20.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
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model.layers.20.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
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model.layers.21.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.21.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.21.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.21.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.21.self_attn.k_norm.weight: 128 parameters, device cuda:0
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model.layers.21.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.21.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
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model.layers.22.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.22.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.22.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
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model.layers.22.self_attn.k_norm.weight: 128 parameters, device cuda:0
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model.layers.22.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.22.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.22.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
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model.layers.23.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.23.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.23.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.23.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.23.self_attn.k_norm.weight: 128 parameters, device cuda:0
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model.layers.23.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.23.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.23.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.23.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.23.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.23.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.23.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
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model.layers.23.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.23.input_layernorm.weight: 1,024 parameters, device cuda:0
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model.layers.24.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.24.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.24.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.24.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.24.self_attn.k_norm.weight: 128 parameters, device cuda:0
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model.layers.24.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.24.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.24.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.25.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.25.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.25.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.25.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.25.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.25.self_attn.k_norm.weight: 128 parameters, device cuda:0
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model.layers.25.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.25.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.25.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
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model.layers.25.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.25.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
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model.layers.25.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.25.input_layernorm.weight: 1,024 parameters, device cuda:0
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model.layers.26.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.26.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.26.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.26.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.26.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.26.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.26.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.26.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
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model.layers.26.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.26.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.26.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.26.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.26.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.26.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.26.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.26.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.27.self_attn.q_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.27.self_attn.k_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.27.self_attn.v_proj.weight: 1,048,576 parameters, device cuda:0
model.layers.27.self_attn.o_proj.weight: 2,097,152 parameters, device cuda:0
model.layers.27.self_attn.q_norm.weight: 128 parameters, device cuda:0
model.layers.27.self_attn.k_norm.weight: 128 parameters, device cuda:0
model.layers.27.mlp.gate.weight: 3,072 parameters, device cuda:0
model.layers.27.mlp.experts.0.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.0.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.0.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.1.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.1.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.1.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.2.gate_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.2.up_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.mlp.experts.2.down_proj.weight: 3,145,728 parameters, device cuda:0
model.layers.27.input_layernorm.weight: 1,024 parameters, device cuda:0
model.layers.27.post_attention_layernorm.weight: 1,024 parameters, device cuda:0
model.norm.weight: 1,024 parameters, device cuda:0
------------------------------------------------------------
Total Model Parameter Count:1,124,618,240
