Transformers
SwiGLU MLP · seq = 1024 · batch = 4 · hidden = 4096 · intermediate = 11008 · bf16 · run 01a016ae-5e00…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.58msmedian
Rank 1 in its comparison group · source-native comparison · observed 2024-09-03
ms 20 4.5821757316589355 · ms 50 4.582320213317871 · ms 80 4.582464218139648
Identity
implementationTransformers
projectHugging Face Transformers
revisionunknown
workloadseq = 1024 · batch = 4 · hidden = 4096 · intermediate = 11008 · bf16
comparison keysha256:0197ab46684dcdb3…
sourceLiger-Kernel benchmarks
external idswiglu/forward/huggingface/nvidia-a100-sxm4-80gb/batch4-hidden4096-intermediate11008-seq1024-bf16/2024-09-03-15-40-28
sha256:60cd7c3477d08432f7f6614…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
seq1024
batch4
hidden4096
intermediate11008
xbf16 [4, 1024, 4096]
w_upbf16 [11008, 4096]
w_downbf16 [4096, 11008]
w_gatebf16 [11008, 4096]
definition comparatornot_asserted
Measurements
latency · median4.58 ms
latency · p204.58 ms
latency · p804.58 ms
Protocol
harnessLiger-Kernel benchmark scripts
timercuda_events
primaryStatisticmedian
comparabilityFamilyliger_kernel_bench
Environment
gpuNVIDIA A100 (sm_80)
Artifacts
No artifacts published with this run.
Replications and notes
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
Add a reproduction or note
Canonical manifest
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
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"timing": {
"latencyNs": {
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},
"primaryStatistic": "median"
},
"observedAt": "2024-09-03T15:40:28.000Z",
"measurements": [
{
"unit": "ns",
"value": 4582176,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 4582464,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
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"metrics": {
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"ms_80": 4.582464218139648
},
"benchmark": "swiglu/forward",
"externalId": "swiglu/forward/huggingface/nvidia-a100-sxm4-80gb/batch4-hidden4096-intermediate11008-seq1024-bf16/2024-09-03-15-40-28"
},
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"workloadDigest": "sha256:e4af91285aeafe4dff8494ab87c910297747d96d6ddca95bfef288f160b4d03d",
"environmentDigest": "sha256:90c9e2764222f592477cfccf3373519add5a1b881563956ad058c4f99e41b6b9",
"implementationDigest": "sha256:70659a76da921ebc2777c752d1b601f56545c50a49056f176d2bf35d29374512"
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"metadata": {
"name": "liger-swiglu-forward-huggingface-nvidia-a100-sxm4-80gb-batch4-hidden4096-intermediate11008-seq1024-b",
"title": "SwiGLU MLP · huggingface · forward",
"labels": {
"liger_version": "0.2.1"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
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},
"measurement": {
"timer": "cuda_events",
"primaryStatistic": "median"
},
"comparability": {
"notes": "Timed: the module forward pass, via triton.testing.do_bench with quantiles 0.5/0.2/0.8 (median with p20/p80 spread). The upstream CSV records no CUDA, driver, or torch version; the Liger release rides each run's labels. Comparable only within one kernel, workload, timed pass, and GPU.",
"family": "liger_kernel_bench"
}
},
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"spec": {
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"formFactor": "SXM4-80GB",
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},
"metadata": {
"name": "liger-bench-nvidia-a100-sxm4-80gb",
"title": "Liger benchmark host · A100-SXM4-80GB"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-18 · Liger-Kernel benchmarks · BSD-2-ClauseAll results for SwiGLU MLP →JSON