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Browse files- README.md +2 -2
- croissant.json +1 -1
README.md
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@@ -45,13 +45,13 @@ Profiles: `chat-medium`, `chat-multiturn-long`, `chat-multiturn-medium`, `chat-m
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### distributional
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Requests sample ISL/OSL from parameterized statistical distributions (e.g., lognormal) fitted to real workload statistics.
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Profiles: `chat-multiturn`, `chat-singleturn`, `coding-singleturn`, `osworld-multiturn`, `swebench-multiturn`, `terminalbench-multiturn`
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### Why two configurations?
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**trace_replay**
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### Concurrency filtering
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### distributional
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Requests sample ISL/OSL from parameterized statistical distributions (e.g., lognormal) fitted to real workload statistics. Shorter to run than full trace replays, enabling faster characterization of profile-level serving behavior across the hardware matrix. MSE validation confirms distributional runs reproduce the latency and throughput characteristics of their trace-replay counterparts.
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Profiles: `chat-multiturn`, `chat-singleturn`, `coding-singleturn`, `osworld-multiturn`, `swebench-multiturn`, `terminalbench-multiturn`
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### Why two configurations?
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**trace_replay** provides ecological validity — patterns are drawn from real agent sessions, grounding results in observed behavior. **distributional** enables efficient coverage — shorter run times allow systematic sweeps across the full model-hardware-concurrency matrix, while MSE validation against trace_replay confirms the results remain representative.
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### Concurrency filtering
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croissant.json
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"@type": "cr:RecordSet",
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"@id": "distributional-summary",
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"name": "Distributional Summary",
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"description": "One row per benchmark configuration from distributional runs (statistical sampling
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"field": [
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{
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"@type": "cr:Field",
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"@type": "cr:RecordSet",
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"@id": "distributional-summary",
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"name": "Distributional Summary",
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"description": "One row per benchmark configuration from distributional runs (statistical sampling, shorter to run, MSE-validated against trace replays).",
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"field": [
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{
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"@type": "cr:Field",
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