Liger
Fused linear + KTO loss · seq = 512 · batch = 2 · vocab = 128256 · hidden = 1024 · bf16 · run 01a0202b-217c…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.78msmedian
Rank 1 in its comparison group · source-native comparison · observed 2025-03-03
ms 20 4.677459239959717 · ms 50 4.782928466796875 · ms 80 5.3430914878845215
Identity
implementationLiger
projectLiger-Kernel
revisionunknown
workloadseq = 512 · batch = 2 · vocab = 128256 · hidden = 1024 · bf16
comparison keysha256:e07e8279894afa5b…
sourceLiger-Kernel benchmarks
external idkto_loss/full/liger/nvidia-h100-80gb-hbm3/batch2-hidden1024-seq512-vocab128256-bf16/2025-03-03-08-23-18
sha256:c859333c51a40099529b85a…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
seq512
batch2
vocab128256
hidden1024
xbf16 [2, 512, 1024]
klbf16 [1]
biasbf16 [128256]
ref_xbf16 [2, 512, 1024]
targetint64 [2, 512]
weightbf16 [128256, 1024]
ref_biasbf16 [128256]
ref_weightbf16 [128256, 1024]
preference_labelsbool [2]
definition comparatornot_asserted
Measurements
latency · median4.78 ms
latency · p204.68 ms
latency · p805.34 ms
Protocol
harnessLiger-Kernel benchmark scripts
timercuda_events
primaryStatisticmedian
comparabilityFamilyliger_kernel_bench
Environment
gpuNVIDIA H100 (sm_90)
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": {
"status": "passed",
"timing": {
"latencyNs": {
"median": 4782928
},
"primaryStatistic": "median"
},
"observedAt": "2025-03-03T08:23:18.000Z",
"measurements": [
{
"unit": "ns",
"value": 4677459,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 5343091,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
"source": "liger-kernel-bench",
"metrics": {
"ms_20": 4.677459239959717,
"ms_50": 4.782928466796875,
"ms_80": 5.3430914878845215
},
"benchmark": "kto_loss/full",
"externalId": "kto_loss/full/liger/nvidia-h100-80gb-hbm3/batch2-hidden1024-seq512-vocab128256-bf16/2025-03-03-08-23-18"
},
"protocolDigest": "sha256:5b02ee9a2140fbc6fcc1c89800f6c177ba22718c8897cb532bf0ba91867c1e58",
"workloadDigest": "sha256:d7660a27faffafbac992b61dc74a9ec74282b129d0da7b3ecbe6446dd2603b5a",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:6aed2ef6b0385d2179654ce9fc5a5621ed752752da866e3e9f33e0830088e135"
},
"metadata": {
"name": "liger-kto-loss-full-liger-nvidia-h100-80gb-hbm3-batch2-hidden1024-seq512-vocab128256-bf16-2025-03-03",
"title": "Fused linear + KTO loss · liger · full",
"labels": {
"liger_version": "0.5.4"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
"name": "Liger-Kernel benchmark scripts",
"repository": "https://github.com/linkedin/Liger-Kernel"
},
"measurement": {
"timer": "cuda_events",
"primaryStatistic": "median"
},
"comparability": {
"notes": "Timed: the forward pass plus the backward 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"
}
},
"metadata": {
"name": "liger-bench-do-bench-full",
"title": "Liger benchmark harness · full pass"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"environment": {
"kind": "ExecutionEnvironment",
"spec": {
"hardware": {
"vendor": "nvidia",
"product": "NVIDIA H100",
"formFactor": "80GB HBM3",
"architecture": "sm_90"
},
"software": {}
},
"metadata": {
"name": "liger-bench-nvidia-h100-80gb-hbm3",
"title": "Liger benchmark host · H100 80GB HBM3"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-20 · Liger-Kernel benchmarks · BSD-2-ClauseAll results for Fused linear + KTO loss →JSON