获取Qwen 2.5 内部网络结构 讲解

Qwen2DecoderLayer(
(self_attn): Qwen2Attention(
(q_proj): Linear(in_features=2048, out_features=2048, bias=True)
(k_proj): Linear(in_features=2048, out_features=256, bias=True)
(v_proj): Linear(in_features=2048, out_features=256, bias=True)
(o_proj): Linear(in_features=2048, out_features=2048, bias=False)
)
(mlp): Qwen2MLP(
(gate_proj): Linear(in_features=2048, out_features=11008, bias=False)
(up_proj): Linear(in_features=2048, out_features=11008, bias=False)
(down_proj): Linear(in_features=11008, out_features=2048, bias=False)
(act_fn): SiLU()
)
(input_layernorm): Qwen2RMS