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AbsenceBench — Budget
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Volunteer team, incl. in-house scenario construction & validation (Arabic/English/Japanese). No stipend line. Spend is compute + hosting.
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Scope: 20 models x ~1,000 base scenarios x 3 languages x 5 repeats = ~300K runs/pass; ~3.5 effective passes (build iteration, ablations, model-update reruns) = ~1.05M runs. Compute derived from that; blue/yellow cells = your inputs.
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Line itemMinimumIdealWhat it covers / how it's derived
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Compute — closed models (API)
$2,500$5,000~10 frontier models via API over the runs. Blended ~$2.5/M in, ~$13/M out with batch (50%) + caching. Minimum = 1 clean pass + light iteration; Ideal = full ~3.5 passes + ablations. Derived, not estimated.
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Compute — open-weight (GPU)
$1,200$3,500~10 open-weight models on rented cloud GPUs ($0.50-$5/hr by model size). ~440 GPU-hrs at full scope. Minimum = core models 1 pass; Ideal = full model set, all passes.
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Scenario construction (materials/tools)
$500$2,000NON-labor costs only (labor is volunteer): annotation tooling, translation-check references, storage. Ideal funds broader tooling for the multilingual set.
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Eval red-teaming / hardening
$0$2,500Stress-testing the benchmark so it can't be gamed. Some via paid API calls to adversarial-probe the eval. Ideal-only.
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Dissemination / hosting$800$2,000Public leaderboard hosting, open harness + dataset release, write-up. Recurring hosting over the project.
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Buffer / contingency$1,000$2,000Price moves (API/GPU rates shift), extra reruns when models update mid-project. Kept explicit rather than hidden in other lines.
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TOTAL$6,000$17,000Minimum ships the benchmark across a core model set + all 3 languages. Ideal = full 20-model coverage, all passes, red-teaming.
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Note on size:
This project is compute-light and labor-heavy; because the labor (scenario authoring/validation across 3 languages) is volunteer, it is not a budget cost. The ask reflects real inference/GPU/hosting spend, not padded compute. Under-asking with correct arithmetic is intentional.
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