Skip to content

MXMoE kernels for Qwen3.5-397B TP2 decode #4513

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
yichiche merged 2 commits into from
Aug 5, 2026
Merged

MXMoE kernels for Qwen3.5-397B TP2 decode #4513

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
59049e5
tune: select MXMoE kernels for Qwen3.5-397B TP2 decode
zijiecode Aug 3, 2026
232dffa
tune: format Qwen3.5 MXMoE errors as percentages
zijiecode Aug 5, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions aiter/configs/model_configs/qwen3_5_397b_fp4_tuned_fmoe.csv
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,13 +23,13 @@ cu_num,token,model_dim,inter_dim,expert,topk,act_type,dtype,q_dtype_a,q_dtype_w,
256,4,4096,512,513,11,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,27.3593,_ZN5aiter50fmoe_bf16_pertokenMXfp4_g1u1_flat_novs_silu_16x128E,0.0%,0.0,,0.0%,27.3593,1,1,1,20.24,0.0,
256,8,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,53.93,_ZN5aiter50fmoe_bf16_pertokenMXfp4_g1u1_flat_novs_silu_16x256E,0.0%,0.0,,0.0%,53.93,1,1,1,18.66,0.0,
256,8,4096,512,513,11,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,56.85,_ZN5aiter50fmoe_bf16_pertokenMXfp4_g1u1_flat_novs_silu_16x256E,0.0%,0.0,,0.0%,56.85,1,1,1,19.47,0.0,
256,16,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,95.2404,_ZN5aiter50fmoe_bf16_pertokenMXfp4_g1u1_flat_novs_silu_16x128E,0.0%,0.0,,0.0%,95.2404,1,1,1,21.14,0.0,
256,16,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,85.6523,flydsl_mxmoe_g1_a4w4_16x256x256_f16in_nt,1.1%,0.0,flydsl_mxmoe_g2_a4w4_16x256x256_atomic,1.1%,85.6523,0,0,0,0.0,0.0,
256,16,4096,512,513,11,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,100.8484,_ZN5aiter50fmoe_bf16_pertokenMXfp4_g1u1_flat_novs_silu_16x128E,0.0%,0.0,,0.0%,100.8484,1,1,1,21.96,0.0,
256,32,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,90.7651,flydsl_moe1_afp4_wfp4_bf16_t32x64x256_w4,0.0%,50.0789,flydsl_moe2_afp4_wfp4_bf16_t16x128x256_atomic_bnt2_sbm32,0.7%,140.844,0,0,0,28.59,22873.67,
256,32,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,138.8336,flydsl_mxmoe_g1_a4w4_16x256x256_f16in_nt,1.1%,0.0,flydsl_mxmoe_g2_a4w4_16x256x256_atomic_nt,1.1%,138.8336,0,0,0,0.0,0.0,
256,32,4096,512,513,11,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,95.9892,flydsl_moe1_afp4_wfp4_bf16_t32x64x256_w3,0.0%,54.2338,flydsl_moe2_afp4_wfp4_bf16_t32x128x256_atomic_bnt2,0.7%,150.223,0,0,0,29.48,21487.46,
256,64,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,131.4967,flydsl_moe1_afp4_wfp4_bf16_t32x64x256_w3,0.0%,72.603,flydsl_moe2_afp4_wfp4_bf16_t32x256x256_reduce_bnt2,0.0%,204.0997,0,0,0,39.46,15786.46,
256,64,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,206.0825,flydsl_mxmoe_g1_a4w4_16x256x256_f16in_nt,1.1%,0.0,flydsl_mxmoe_g2_a4w4_16x256x256_atomic_nt,1.1%,206.0825,0,0,0,0.0,0.0,
256,64,4096,512,513,11,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,142.5468,flydsl_moe1_afp4_wfp4_bf16_t32x64x256_w4,0.0%,76.7286,flydsl_moe2_afp4_wfp4_bf16_t16x256x256_reduce_bnt2_persist_sbm32,0.0%,219.2754,0,0,0,40.4,14722.6,
256,128,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,164.50629999999998,flydsl_moe1_afp4_wfp4_bf16_t32x64x256_w3,0.0%,88.5413,flydsl_moe2_afp4_wfp4_bf16_t16x128x256_atomic_bnt2_persist_sbm32,0.6%,253.0476,0,0,0,63.65,12735.94,
256,128,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,16,0,265.9923,flydsl_mxmoe_g1_a4w4_16x256x256_f16in_nt,1.1%,0.0,flydsl_mxmoe_g2_a4w4_16x256x256_atomic_nt,1.1%,265.9923,0,0,0,0.0,0.0,
256,128,4096,512,513,11,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,170.497,flydsl_moe1_afp4_wfp4_bf16_t32x64x256_w2,0.0%,88.8792,flydsl_moe2_afp4_wfp4_bf16_t16x128x256_atomic_bnt2_sbm32,0.7%,259.3762,0,0,0,68.31,12449.45,
256,256,4096,512,512,10,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,180.07840000000002,flydsl_moe1_afp4_wfp4_bf16_t32x32x256_w4,0.0%,98.1332,flydsl_moe2_afp4_wfp4_bf16_t16x128x256_atomic_bnt2_persist_sbm32,0.6%,278.2116,0,0,0,115.78,11589.64,
256,256,4096,512,513,11,ActivationType.Silu,torch.bfloat16,torch.float4_e2m1fn_x2,torch.float4_e2m1fn_x2,QuantType.per_1x32,1,0,32,0,180.6247,flydsl_moe1_afp4_wfp4_bf16_t32x64x256_w2,0.0%,97.6837,flydsl_moe2_afp4_wfp4_bf16_t16x128x256_atomic_bnt2_sbm32,0.7%,278.3084,0,0,0,127.32,11608.21,
Expand Down
Loading