24-0830-wanda-llama3.1-8B / sparsity_report_Meta-Llama-3.1-8B-wanda-unstructured-0.0.csv
Vui Seng Chua
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row,layer_id,short_id,layer_type,param_type,shape,nparam,nnz,sparsity,tile_shape,n_tile,n_tile_total,tile_avg,tile_min,tile_med,tile_max,col_avg,col_min,col_med,col_max,row_avg,row_min,row_med,row_max
0,model.layers.0.self_attn.q_proj,tx.0.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
1,model.layers.0.self_attn.k_proj,tx.0.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
2,model.layers.0.self_attn.v_proj,tx.0.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
3,model.layers.0.self_attn.o_proj,tx.0.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
4,model.layers.0.mlp.gate_proj,tx.0.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
5,model.layers.0.mlp.up_proj,tx.0.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
6,model.layers.0.mlp.down_proj,tx.0.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
7,model.layers.1.self_attn.q_proj,tx.1.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
8,model.layers.1.self_attn.k_proj,tx.1.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
9,model.layers.1.self_attn.v_proj,tx.1.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
10,model.layers.1.self_attn.o_proj,tx.1.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
11,model.layers.1.mlp.gate_proj,tx.1.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
12,model.layers.1.mlp.up_proj,tx.1.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
13,model.layers.1.mlp.down_proj,tx.1.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
14,model.layers.2.self_attn.q_proj,tx.2.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
15,model.layers.2.self_attn.k_proj,tx.2.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
16,model.layers.2.self_attn.v_proj,tx.2.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
17,model.layers.2.self_attn.o_proj,tx.2.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
18,model.layers.2.mlp.gate_proj,tx.2.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
19,model.layers.2.mlp.up_proj,tx.2.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
20,model.layers.2.mlp.down_proj,tx.2.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
21,model.layers.3.self_attn.q_proj,tx.3.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
22,model.layers.3.self_attn.k_proj,tx.3.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
23,model.layers.3.self_attn.v_proj,tx.3.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
24,model.layers.3.self_attn.o_proj,tx.3.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
25,model.layers.3.mlp.gate_proj,tx.3.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
26,model.layers.3.mlp.up_proj,tx.3.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
27,model.layers.3.mlp.down_proj,tx.3.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
28,model.layers.4.self_attn.q_proj,tx.4.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
29,model.layers.4.self_attn.k_proj,tx.4.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
30,model.layers.4.self_attn.v_proj,tx.4.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
31,model.layers.4.self_attn.o_proj,tx.4.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
32,model.layers.4.mlp.gate_proj,tx.4.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
33,model.layers.4.mlp.up_proj,tx.4.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
34,model.layers.4.mlp.down_proj,tx.4.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
35,model.layers.5.self_attn.q_proj,tx.5.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
36,model.layers.5.self_attn.k_proj,tx.5.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
37,model.layers.5.self_attn.v_proj,tx.5.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
38,model.layers.5.self_attn.o_proj,tx.5.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
39,model.layers.5.mlp.gate_proj,tx.5.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
40,model.layers.5.mlp.up_proj,tx.5.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
41,model.layers.5.mlp.down_proj,tx.5.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
42,model.layers.6.self_attn.q_proj,tx.6.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
43,model.layers.6.self_attn.k_proj,tx.6.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
44,model.layers.6.self_attn.v_proj,tx.6.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
45,model.layers.6.self_attn.o_proj,tx.6.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
46,model.layers.6.mlp.gate_proj,tx.6.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
47,model.layers.6.mlp.up_proj,tx.6.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
48,model.layers.6.mlp.down_proj,tx.6.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
49,model.layers.7.self_attn.q_proj,tx.7.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
50,model.layers.7.self_attn.k_proj,tx.7.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
51,model.layers.7.self_attn.v_proj,tx.7.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
52,model.layers.7.self_attn.o_proj,tx.7.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
53,model.layers.7.mlp.gate_proj,tx.7.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
54,model.layers.7.mlp.up_proj,tx.7.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
55,model.layers.7.mlp.down_proj,tx.7.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
56,model.layers.8.self_attn.q_proj,tx.8.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
57,model.layers.8.self_attn.k_proj,tx.8.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
58,model.layers.8.self_attn.v_proj,tx.8.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
59,model.layers.8.self_attn.o_proj,tx.8.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
60,model.layers.8.mlp.gate_proj,tx.8.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
61,model.layers.8.mlp.up_proj,tx.8.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
62,model.layers.8.mlp.down_proj,tx.8.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
63,model.layers.9.self_attn.q_proj,tx.9.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
64,model.layers.9.self_attn.k_proj,tx.9.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
65,model.layers.9.self_attn.v_proj,tx.9.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
66,model.layers.9.self_attn.o_proj,tx.9.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
67,model.layers.9.mlp.gate_proj,tx.9.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
68,model.layers.9.mlp.up_proj,tx.9.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
69,model.layers.9.mlp.down_proj,tx.9.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
70,model.layers.10.self_attn.q_proj,tx.10.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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217,model.layers.31.self_attn.q_proj,tx.31.attn.q,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
218,model.layers.31.self_attn.k_proj,tx.31.attn.k,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
219,model.layers.31.self_attn.v_proj,tx.31.attn.v,Linear,weight,"[1024, 4096]",4194304,4194304,0.0,"(128, 16)",8 x 256,2048,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
220,model.layers.31.self_attn.o_proj,tx.31.attn.o,Linear,weight,"[4096, 4096]",16777216,16777216,0.0,"(128, 16)",32 x 256,8192,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
221,model.layers.31.mlp.gate_proj,tx.31.mlp.gate,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
222,model.layers.31.mlp.up_proj,tx.31.mlp.up,Linear,weight,"[14336, 4096]",58720256,58720256,0.0,"(128, 16)",112 x 256,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
223,model.layers.31.mlp.down_proj,tx.31.mlp.down,Linear,weight,"[4096, 14336]",58720256,58720256,0.0,"(128, 16)",32 x 896,28672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
224,lm_head,lm_head,Linear,weight,"[128256, 4096]",525336576,525336576,0.0,"(128, 16)",1002 x 256,256512,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0