diff --git a/aiter/configs/model_configs/a8w8_blockscale_tuned_gemm_ds_v3.csv b/aiter/configs/model_configs/a8w8_blockscale_tuned_gemm_ds_v3.csv
index 5b18451ffc..292049ec3d 100644
--- a/aiter/configs/model_configs/a8w8_blockscale_tuned_gemm_ds_v3.csv
+++ b/aiter/configs/model_configs/a8w8_blockscale_tuned_gemm_ds_v3.csv
@@ -1,645 +1,782 @@
-cu_num,M,N,K,kernelId,splitK,us,kernelName,tflops,bw,errRatio
-256,1,2112,7168,8,0,23.1423,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,1.31,654.65,0.0
-256,2,2112,7168,8,0,23.1821,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,2.61,654.02,0.0
-256,4,2112,7168,8,0,23.0544,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,5.25,658.63,0.0
-256,8,2112,7168,8,0,23.2634,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,10.41,654.67,0.0
-256,16,2112,7168,8,0,20.2497,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,23.92,756.61,0.0
-256,32,2112,7168,8,0,20.0548,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,48.31,773.05,0.0
-256,64,2112,7168,8,0,19.8696,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,97.52,798.6,0.0
-256,128,2112,7168,8,0,20.2426,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,191.45,819.9,0.0
-256,256,2112,7168,18,0,22.1462,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,350.0,815.27,0.0
-256,512,2112,7168,18,0,29.0228,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,534.14,722.59,0.0
-256,1024,2112,7168,18,0,44.836,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,691.5,597.83,0.0
-256,2048,2112,7168,18,0,74.5268,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,832.03,516.19,0.0
-256,4096,2112,7168,0,0,124.1349,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,999.05,497.85,0.0
-256,8192,2112,7168,0,0,198.3448,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1250.52,546.84,0.0
-256,16384,2112,7168,0,0,351.5932,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1410.92,573.92,0.0
-256,32768,2112,7168,0,0,706.8872,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1403.53,549.5,0.0
-256,1,3072,1536,8,0,7.4103,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,1.27,637.8,0.0
-256,2,3072,1536,8,0,7.4266,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,2.54,637.43,0.0
-256,4,3072,1536,13,0,7.8966,a8w8_blockscale_1x128x128_256x32x64x256_16x16_16x16_16x16x1_16x16x1_1x32x1x8_8_2x1_intrawave_v1,4.78,601.44,0.0
-256,8,3072,1536,18,0,7.9267,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,9.52,603.03,0.0
-256,16,3072,1536,8,0,7.4157,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,20.36,652.87,0.0
-256,32,3072,1536,8,0,7.0426,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,42.88,704.9,0.0
-256,64,3072,1536,8,0,7.5522,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,79.97,689.88,0.0
-256,128,3072,1536,8,0,8.1319,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,148.55,701.14,0.0
-256,256,3072,1536,18,0,7.6382,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,316.29,875.16,0.0
-256,512,3072,1536,18,0,10.6592,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,453.3,811.58,0.0
-256,1024,3072,1536,18,0,15.1443,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,638.11,830.87,0.0
-256,2048,3072,1536,2,0,23.8432,a8w8_blockscale_1x128x128_256x64x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,810.6,857.57,0.0
-256,4096,3072,1536,0,0,37.7108,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1025.03,959.3,0.0
-256,8192,3072,1536,0,0,66.4578,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1163.29,1017.69,0.0
-256,16384,3072,1536,0,0,125.1134,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1235.83,1043.44,0.0
-256,20480,3072,1536,0,0,223.3253,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,865.43,725.42,0.0
-256,32768,3072,1536,0,0,227.0388,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1362.05,1129.22,0.0
-256,1,4096,512,8,0,3.8518,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,1.09,546.72,0.0
-256,2,4096,512,8,0,3.8129,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,2.2,554.58,0.0
-256,4,4096,512,13,0,3.4246,a8w8_blockscale_1x128x128_256x32x64x256_16x16_16x16_16x16x1_16x16x1_1x32x1x8_8_2x1_intrawave_v1,4.9,622.55,0.0
-256,8,4096,512,8,0,3.8517,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,8.71,562.55,0.0
-256,16,4096,512,8,0,3.835,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,17.5,583.16,0.0
-256,32,4096,512,11,0,3.8544,a8w8_blockscale_1x128x128_256x32x64x128_16x16_16x16_8x32x1_8x32x1_1x32x1x8_8_2x1_intrawave_v1,34.82,616.36,0.0
-256,64,4096,512,6,0,4.0748,a8w8_blockscale_1x128x128_256x16x64x128_8x16_16x16_16x16x1_8x32x1_1x16x1x16_4_1x1_intrawave_v1,65.88,651.37,0.0
-256,128,4096,512,11,0,4.4446,a8w8_blockscale_1x128x128_256x32x64x128_16x16_16x16_8x32x1_8x32x1_1x32x1x8_8_2x1_intrawave_v1,120.79,722.51,0.0
-256,256,4096,512,12,0,4.6202,a8w8_blockscale_1x128x128_256x32x128x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,232.4,936.19,0.0
-256,512,4096,512,18,0,7.2254,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,297.21,907.02,0.0
-256,1024,4096,512,0,0,9.5064,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,451.8,1158.17,0.0
-256,2048,4096,512,0,0,14.9624,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,574.1,1331.53,0.0
-256,4096,4096,512,0,0,25.9147,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,662.94,1456.65,0.0
-256,8192,4096,512,0,0,45.4707,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,755.65,1614.23,0.0
-256,16384,4096,512,0,0,85.3201,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,805.43,1696.01,0.0
-256,20480,4096,512,18,0,144.807,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,593.2,1245.49,0.0
-256,32768,4096,512,0,0,159.2565,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,863.0,1804.07,0.0
-256,1,7168,2048,8,0,8.5724,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,3.42,1714.39,0.0
-256,2,7168,2048,8,0,8.6049,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,6.82,1709.82,0.0
-256,4,7168,2048,8,0,8.188,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,14.34,1800.88,0.0
-256,8,7168,2048,8,0,8.3523,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,28.12,1773.3,0.0
-256,16,7168,2048,8,0,8.3043,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,56.57,1799.33,0.0
-256,32,7168,2048,7,0,8.4862,a8w8_blockscale_1x128x128_256x16x128x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_8_1x2_intrawave_v1,110.71,1791.66,0.0
-256,64,7168,2048,8,0,8.825,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,212.92,1782.28,0.0
-256,128,7168,2048,18,0,9.0903,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,413.42,1845.62,0.0
-256,256,7168,2048,18,0,13.0936,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,574.04,1441.5,0.0
-256,512,7168,2048,0,0,19.376,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,775.83,1190.58,0.0
-256,1024,7168,2048,0,0,31.2424,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,962.31,1006.88,0.0
-256,2048,7168,2048,0,0,56.3503,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1067.07,855.98,0.0
-256,4096,7168,2048,0,0,98.6453,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1219.11,829.12,0.0
-256,8192,7168,2048,0,0,178.4711,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1347.66,834.3,0.0
-256,16384,7168,2048,0,0,330.8182,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1454.08,855.8,0.0
-256,20480,7168,2048,0,0,630.5854,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,953.55,555.4,0.0
-256,32768,7168,2048,0,0,649.7976,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,1480.57,848.8,0.0
-80,1,2112,7168,8,0,29.6812,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,24576,1536,8,0,21.7723,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,32768,512,8,0,11.9511,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,7168,16384,8,0,80.4411,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,36864,7168,8,0,126.2421,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,7168,18432,8,0,90.1639,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,128,7168,13,0,31.0068,a8w8_blockscale_1x128x128_256x32x64x256_16x16_16x16_16x16x1_16x16x1_1x32x1x8_8_2x1_intrawave_v1,0,0,0
-80,1,8192,1536,8,0,10.8235,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,2240,7168,8,0,29.5828,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,32768,1536,8,0,28.4212,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,3072,1536,8,0,8.805,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,4096,512,8,0,4.2994,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,7168,2048,8,0,13.3935,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,4608,7168,8,0,30.2356,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,7168,2304,8,0,13.4935,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,11264,1536,8,0,14.1259,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,1,4096,7168,8,0,30.2807,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
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-80,2,24576,1536,8,0,22.0947,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,2,32768,512,8,0,13.3839,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
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-80,1024,2240,7168,18,0,171.2028,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,1024,32768,1536,0,0,502.3442,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,1024,11264,1536,3,0,212.6951,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,1024,4096,7168,0,0,293.2092,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,2048,64,7168,8,0,31.3536,a8w8_blockscale_1x128x128_256x16x64x256_16x16_16x16_16x16x1_16x16x1_1x16x1x16_4_1x1_intrawave_v1,0,0,0
-80,2048,128,7168,18,0,32.7228,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,2048,2112,7168,18,0,322.7936,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
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-80,2048,32768,512,16,0,513.9487,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,2048,24576,1536,0,0,740.166,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
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-80,12288,128,7168,18,0,130.3021,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,12288,8192,1536,0,0,1449.011,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,2240,7168,2,0,2046.9716,a8w8_blockscale_1x128x128_256x64x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,32768,1536,0,0,5785.9662,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,3072,1536,0,0,554.6374,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,4096,512,3,0,388.9976,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,7168,2048,0,0,1607.9242,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,4608,7168,0,0,2993.2517,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,7168,2304,0,0,1685.1739,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,11264,1536,3,0,2345.0071,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,4096,7168,0,0,2718.6056,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,512,7168,0,0,379.5964,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,12288,7168,256,16,0,442.8496,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,14336,2112,7168,18,0,2116.3028,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,14336,24576,1536,3,0,5951.0038,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,32768,512,3,0,3544.876,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,7168,16384,0,0,15187.1505,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,36864,7168,0,0,27944.1037,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,7168,18432,0,0,14287.2359,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,128,7168,18,0,154.4819,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,14336,8192,1536,3,0,1969.4415,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,2240,7168,18,0,2246.3365,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,14336,3072,1536,3,0,757.7926,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,4096,512,16,0,451.8624,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,14336,7168,2048,0,0,1856.2897,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,4608,7168,0,0,3576.6846,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,7168,2304,0,0,1951.3416,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,11264,1536,0,0,2380.0822,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,32768,1536,0,0,6695.5133,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,4096,7168,0,0,3229.5757,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,512,7168,0,0,448.1751,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,14336,7168,256,16,0,524.9808,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,16384,64,7168,18,0,109.3048,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,16384,128,7168,0,0,178.0376,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,16384,2112,7168,18,0,2419.3022,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,16384,7168,16384,0,0,17329.3114,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,16384,8192,1536,0,0,1921.1494,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,16384,32768,512,16,0,4019.012,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,16384,24576,1536,3,0,6732.7083,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,16384,36864,7168,0,0,31524.9476,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,16384,7168,18432,0,0,16294.5139,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,16384,2240,7168,18,0,2564.4367,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
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-80,16384,4096,7168,0,0,3558.282,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,64,7168,18,0,190.0733,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,32768,128,7168,18,0,326.7444,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,32768,2112,7168,18,0,4824.1677,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,32768,7168,16384,0,0,34852.366,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,8192,1536,0,0,3815.3061,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,32768,512,3,0,8065.9904,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,24576,1536,3,0,13388.3528,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,36864,7168,0,0,62743.4272,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,7168,18432,0,0,32659.3895,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
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-80,32768,3072,1536,0,0,1461.7662,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,4096,512,16,0,1024.1373,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,32768,4608,7168,2,0,10392.1318,a8w8_blockscale_1x128x128_256x64x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,7168,2304,0,0,4884.5134,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
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-80,32768,7168,2048,0,0,4614.1608,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
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-80,32768,576,7168,18,0,1350.8663,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,32768,1536,7168,0,0,2845.5978,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,4096,7168,0,0,7182.5926,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,512,7168,0,0,963.846,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,32768,7168,256,16,0,1261.8447,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,65536,64,7168,18,0,350.8382,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,65536,128,7168,0,0,608.956,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,2112,7168,18,0,9617.2811,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
-80,65536,7168,16384,0,0,70478.0846,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,8192,1536,0,0,7621.6687,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,24576,1536,0,0,22949.6148,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,7168,18432,0,0,65026.138,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,2240,7168,2,0,10800.6316,a8w8_blockscale_1x128x128_256x64x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,3072,1536,3,0,3441.6001,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
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-80,65536,4608,7168,0,0,15930.1957,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,7168,2304,3,0,10515.839,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,11264,1536,3,0,12267.214,a8w8_blockscale_1x128x128_256x64x64x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
-80,65536,7168,2048,0,0,8385.3458,a8w8_blockscale_1x128x128_256x128x128x128_16x16_32x32_8x32x1_8x32x1_1x32x1x8_8_1x1_intrawave_v3,0,0,0
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-80,65536,576,7168,18,0,2678.1872,a8w8_blockscale_1x128x128_256x64x64x256_16x16_32x32_16x16x1_16x16x1_1x32x1x8_8_1x1_intrawave_v1,0,0,0
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diff --git a/aiter/jit/core.py b/aiter/jit/core.py
index 504b506513..a62e19d620 100644
--- a/aiter/jit/core.py
+++ b/aiter/jit/core.py
@@ -97,7 +97,8 @@ def update_config_files(file_path: str, merge_name: str):
     untuned_path = f"{AITER_ROOT_DIR}/aiter/configs/{untuned_name}.csv"
     if os.path.exists(untuned_path):
         untunedf = pd.read_csv(untuned_path)
-        keys = untunedf.columns
+        keys = untunedf.columns.to_list()
+        keys.append("cu_num")
         merge_df = (
             merge_df.sort_values("us")
             .drop_duplicates(subset=keys, keep="first")