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AgentPerfBench

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sglang
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lynae-1219 commited on
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Delete croissant_hf_autogenerated.json with huggingface_hub

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  1. croissant_hf_autogenerated.json +0 -890
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- "@type": "cr:RecordSet",
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- ]
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- ],
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- "conformsTo": "http://mlcommons.org/croissant/1.1",
863
- "name": "AgentPerfBench",
864
- "description": "\n\t\n\t\t\n\t\tAgentPerfBench\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nAgentPerfBench measures LLM inference serving performance under agentic workloads. The dataset contains benchmark results (TTFT, TPOT, ITL, throughput) across 9 models, 3 GPU platforms, 2 serving engines, and 14+ workload profiles spanning single-turn chat, multi-turn agent sessions, and synthetic stress tests. It also includes per-kernel CUDA profiling data for roofline analysis. Data was collected in April 2026.\n\n\t\n\t\t\n\t\n\t\n\t\tData\u2026 See the full description on the dataset page: https://huggingface.co/datasets/lynae-1219/AgentPerfBench.",
865
- "alternateName": [
866
- "lynae-1219/AgentPerfBench",
867
- "AgentPerfBench"
868
- ],
869
- "creator": {
870
- "@type": "Person",
871
- "name": "Kevin Wong",
872
- "url": "https://huggingface.co/lynae-1219"
873
- },
874
- "keywords": [
875
- "tabular-regression",
876
- "English",
877
- "apache-2.0",
878
- "1K<n<10K",
879
- "\ud83c\uddfa\ud83c\uddf8 Region: US",
880
- "llm-inference",
881
- "benchmarking",
882
- "gpu-profiling",
883
- "vllm",
884
- "sglang",
885
- "roofline",
886
- "agentic-workloads"
887
- ],
888
- "license": "https://choosealicense.com/licenses/apache-2.0/",
889
- "url": "https://huggingface.co/datasets/lynae-1219/AgentPerfBench"
890
- }