diff --git a/aiter/configs/model_configs/a8w8_blockscale_tuned_fmoe_qwen3_235b.csv b/aiter/configs/model_configs/a8w8_blockscale_tuned_fmoe_qwen3_235b.csv
new file mode 100644
index 0000000000..70cb54e3b8
--- /dev/null
+++ b/aiter/configs/model_configs/a8w8_blockscale_tuned_fmoe_qwen3_235b.csv
@@ -0,0 +1,11 @@
+cu_num,token,model_dim,inter_dim,expert,topk,act_type,dtype,q_dtype_a,q_dtype_w,q_type,use_g1u1,doweight_stage1,block_m,ksplit,us1,kernelName1,err1,us2,kernelName2,err2,us,run_1stage,tflops,bw
+256,1,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,67.4568,_ZN5aiter47fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,67.4568,1,4.48,4476.97
+256,2,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,71.1363,_ZN5aiter47fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,71.1363,1,8.49,4245.57
+256,4,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,74.8513,_ZN5aiter50fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_ps_32x256E,0.0%,0.0,Null,0.0%,74.8513,1,16.14,4035.19
+256,8,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,78.1561,_ZN5aiter47fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,78.1561,1,30.91,3865.19
+256,16,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,78.262,_ZN5aiter47fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,78.262,1,61.74,3861.22
+256,32,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,84.6249,_ZN5aiter50fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_ps_32x256E,0.0%,0.0,Null,0.0%,84.6249,1,114.19,3573.22
+256,64,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,96.2795,_ZN5aiter47fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,96.2795,1,200.74,3144.76
+256,128,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,145.6013,_ZN5aiter49fmoe_bf16_blockscaleFp8_g1u1_novs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,145.6013,1,265.48,2084.89
+256,256,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,237.6176,_ZN5aiter49fmoe_bf16_blockscaleFp8_g1u1_novs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,237.6176,1,325.35,1284.15
+256,512,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0,32,0,331.0423,_ZN5aiter47fmoe_bf16_blockscaleFp8_g1u1_vs_silu_1tg_32x256E,0.0%,0.0,Null,0.0%,331.0423,1,467.07,931.24
diff --git a/aiter/configs/model_configs/a8w8_blockscale_tuned_gemm_qwen3_235b.csv b/aiter/configs/model_configs/a8w8_blockscale_tuned_gemm_qwen3_235b.csv
new file mode 100644
index 0000000000..23128eb19a
--- /dev/null
+++ b/aiter/configs/model_configs/a8w8_blockscale_tuned_gemm_qwen3_235b.csv
@@ -0,0 +1,129 @@
+cu_num,M,N,K,kernelId,splitK,us,kernelName,tflops,bw,errRatio
+256,1,9216,4096,8,0,15.2874,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,4.94,2470.74,0.0
+256,2,9216,4096,8,0,15.6182,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,9.67,2419.86,0.0
+256,4,9216,4096,8,0,15.5108,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,19.47,2439.52,0.0
+256,8,9216,4096,8,0,15.6617,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,38.56,2421.77,0.0
+256,16,9216,4096,8,0,14.3736,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,84.04,2651.33,0.0
+256,32,9216,4096,7,0,15.5721,a8w8_blockscale_1x128x128_256x16x128x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_8_1x2_intrawave_v1,155.14,2470.42,0.0
+256,64,9216,4096,18,0,15.8652,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,304.56,2470.22,0.0
+256,128,9216,4096,18,0,24.2965,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,397.74,1672.35,0.0
+256,256,9216,4096,18,0,31.8855,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,606.15,1364.76,0.0
+256,512,9216,4096,18,0,47.4923,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,813.92,1037.71,0.0
+256,1024,9216,4096,2,0,77.3153,a8w8_blockscale_1x128x128_256x64x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,999.92,786.62,0.0
+256,2048,9216,4096,0,0,126.3825,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1223.42,663.75,0.0
+256,4096,9216,4096,0,0,220.1706,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1404.54,590.56,0.0
+256,8192,9216,4096,0,0,400.8616,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1542.86,554.55,0.0
+256,16384,9216,4096,0,0,800.8525,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1544.54,508.02,0.0
+256,32768,9216,4096,0,0,1653.9011,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1495.8,469.16,0.0
+256,1,4096,8192,8,0,26.8493,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,2.5,1250.34,0.0
+256,2,4096,8192,8,0,26.8722,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,4.99,1249.89,0.0
+256,4,4096,8192,8,0,27.0942,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,9.91,1240.85,0.0
+256,8,4096,8192,8,0,27.4449,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,19.56,1227.39,0.0
+256,16,4096,8192,8,0,24.3021,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,44.18,1391.51,0.0
+256,32,4096,8192,8,0,23.9347,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,89.72,1423.82,0.0
+256,64,4096,8192,8,0,23.5457,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,182.41,1469.61,0.0
+256,128,4096,8192,7,0,25.4852,a8w8_blockscale_1x128x128_256x16x128x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_8_1x2_intrawave_v1,337.06,1398.91,0.0
+256,256,4096,8192,18,0,26.2984,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,653.27,1435.4,0.0
+256,512,4096,8192,18,0,41.3652,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,830.64,1013.97,0.0
+256,1024,4096,8192,0,0,59.137,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1162.04,851.1,0.0
+256,2048,4096,8192,0,0,100.2863,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1370.47,669.17,0.0
+256,4096,4096,8192,0,0,194.5669,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1412.77,517.37,0.0
+256,8192,4096,8192,0,0,356.4042,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1542.51,470.74,0.0
+256,16384,4096,8192,0,0,691.0916,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1590.98,436.98,0.0
+256,32768,4096,8192,0,0,1413.9724,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1555.21,403.42,0.0
+256,1,4608,4096,8,0,14.53,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,2.6,1299.91,0.0
+256,2,4608,4096,8,0,14.4825,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,5.21,1305.09,0.0
+256,4,4608,4096,8,0,14.6915,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,10.28,1288.34,0.0
+256,8,4608,4096,8,0,14.8617,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,20.32,1277.17,0.0
+256,16,4608,4096,8,0,13.3147,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,45.36,1433.56,0.0
+256,32,4608,4096,8,0,13.2381,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,91.25,1457.94,0.0
+256,64,4608,4096,7,0,14.4288,a8w8_blockscale_1x128x128_256x16x128x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_8_1x2_intrawave_v1,167.44,1367.15,0.0
+256,128,4608,4096,18,0,14.8087,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,326.28,1389.61,0.0
+256,256,4608,4096,18,0,22.0975,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,437.32,1008.36,0.0
+256,512,4608,4096,18,0,30.1645,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,640.73,851.67,0.0
+256,1024,4608,4096,18,0,46.7637,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,826.6,695.11,0.0
+256,2048,4608,4096,0,0,75.7426,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1020.69,609.13,0.0
+256,4096,4608,4096,0,0,121.8461,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1268.97,602.4,0.0
+256,8192,4608,4096,0,0,213.5746,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1447.91,598.98,0.0
+256,16384,4608,4096,0,0,401.978,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1538.58,589.53,0.0
+256,32768,4608,4096,0,0,812.555,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1522.3,560.06,0.0
+256,1,4096,4096,8,0,14.2119,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,2.36,1181.37,0.0
+256,2,4096,4096,8,0,14.3028,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,4.69,1174.72,0.0
+256,4,4096,4096,8,0,14.4725,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,9.27,1162.64,0.0
+256,8,4096,4096,8,0,14.6406,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,18.34,1152.65,0.0
+256,16,4096,4096,8,0,13.071,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,41.07,1298.59,0.0
+256,32,4096,4096,8,0,13.0801,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,82.09,1312.71,0.0
+256,64,4096,4096,8,0,13.035,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,164.75,1347.42,0.0
+256,128,4096,4096,7,0,14.1356,a8w8_blockscale_1x128x128_256x16x128x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_8_1x2_intrawave_v1,303.84,1298.15,0.0
+256,256,4096,4096,18,0,14.7464,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,582.51,1351.04,0.0
+256,512,4096,4096,18,0,22.456,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,765.05,1027.28,0.0
+256,1024,4096,4096,0,0,33.1894,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1035.26,884.62,0.0
+256,2048,4096,4096,0,0,57.2207,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1200.95,733.0,0.0
+256,4096,4096,4096,0,0,106.3084,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1292.83,631.27,0.0
+256,8192,4096,4096,0,0,194.5345,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1413.0,603.7,0.0
+256,16384,4096,4096,0,0,364.2854,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1509.13,598.72,0.0
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diff --git a/aiter/configs/model_configs/a8w8_blockscale_untuned_fmoe_qwen3_235b.csv b/aiter/configs/model_configs/a8w8_blockscale_untuned_fmoe_qwen3_235b.csv
new file mode 100644
index 0000000000..d140b03d09
--- /dev/null
+++ b/aiter/configs/model_configs/a8w8_blockscale_untuned_fmoe_qwen3_235b.csv
@@ -0,0 +1,11 @@
+token,model_dim,inter_dim,expert,topk,act_type,dtype,q_dtype_a,q_dtype_w,q_type,use_g1u1,doweight_stage1
+1,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+2,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+4,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+8,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+16,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+32,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+64,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+128,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+256,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
+512,4096,1536,16,8,ActivationType.Silu,torch.bfloat16,torch.float8_e4m3fn,torch.float8_e4m3fn,QuantType.per_1x128,1,0
diff --git a/aiter/configs/model_configs/a8w8_blockscale_untuned_gemm_qwen3_235b.csv b/aiter/configs/model_configs/a8w8_blockscale_untuned_gemm_qwen3_235b.csv
new file mode 100644
index 0000000000..bbeb058b84
--- /dev/null
+++ b/aiter/configs/model_configs/a8w8_blockscale_untuned_gemm_qwen3_235b.csv
@@ -0,0 +1,129 @@
+M,N,K
+1, 9216, 4096
+2, 9216, 4096
+4, 9216, 4096
+8, 9216, 4096
+16, 9216, 4096
+32, 9216, 4096
+64, 9216, 4096
+128, 9216, 4096
+256, 9216, 4096
+512, 9216, 4096
+1024, 9216, 4096
+2048, 9216, 4096
+4096, 9216, 4096
+8192, 9216, 4096
+16384, 9216, 4096
+32768, 9216, 4096
+1, 4096, 8192
+2, 4096, 8192
+4, 4096, 8192
+8, 4096, 8192
+16, 4096, 8192
+32, 4096, 8192
+64, 4096, 8192
+128, 4096, 8192
+256, 4096, 8192
+512, 4096, 8192
+1024, 4096, 8192
+2048, 4096, 8192
+4096, 4096, 8192
+8192, 4096, 8192
+16384, 4096, 8192
+32768, 4096, 8192
+1, 4608, 4096
+2, 4608, 4096
+4, 4608, 4096
+8, 4608, 4096
+16, 4608, 4096
+32, 4608, 4096
+64, 4608, 4096
+128, 4608, 4096
+256, 4608, 4096
+512, 4608, 4096
+1024, 4608, 4096
+2048, 4608, 4096
+4096, 4608, 4096
+8192, 4608, 4096
+16384, 4608, 4096
+32768, 4608, 4096
+1, 4096, 4096
+2, 4096, 4096
+4, 4096, 4096
+8, 4096, 4096
+16, 4096, 4096
+32, 4096, 4096
+64, 4096, 4096
+128, 4096, 4096
+256, 4096, 4096
+512, 4096, 4096
+1024, 4096, 4096
+2048, 4096, 4096
+4096, 4096, 4096
+8192, 4096, 4096
+16384, 4096, 4096
+32768, 4096, 4096
+1, 2304, 4096
+2, 2304, 4096
+4, 2304, 4096
+8, 2304, 4096
+16, 2304, 4096
+32, 2304, 4096
+64, 2304, 4096
+128, 2304, 4096
+256, 2304, 4096
+512, 2304, 4096
+1024, 2304, 4096
+2048, 2304, 4096
+4096, 2304, 4096
+8192, 2304, 4096
+16384, 2304, 4096
+32768, 2304, 4096
+1, 4096, 2048
+2, 4096, 2048
+4, 4096, 2048
+8, 4096, 2048
+16, 4096, 2048
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