{
  "allocation_gpus": 4,
  "cache_policy": "Fresh process and Ray/runtime identifiers per period. Shared immutable model snapshot and identical preparation; writable compiler/cache policy identical between periods and recorded by runner. Order randomization does not eliminate all thermal/cache carryover. No hardware-confinement claim from a mask alone.",
  "classifier": {
    "C": 1.0,
    "class_weight": "balanced",
    "convergence": "ConvergenceWarning or nonfinite parameters is a hard failure",
    "decision": "argmax; no probability calibration or safety interpretation",
    "implementation": "sklearn.linear_model.LogisticRegression",
    "max_iter": 10000,
    "multi_class": "multinomial",
    "penalty": "l2",
    "random_state": 20260915,
    "scaling": "Training-fold StandardScaler",
    "solver": "lbfgs"
  },
  "collection_order_seed": 2026091503,
  "comparison": "Two versus four task GPUs on the same four-GPU allocation; matched global prompts, compound level, seed, source and horizon. Generated responses may differ; this is the total execution consequence, not identical tensor work or pure memory sharding.",
  "component_regression": "Ordinary nonnegative least squares with intercept, maxiter10000, float64. Only configurations with three completed repeats supply numerical targets, their maximum external completed peak. Feature divisors=max(training-completion feature max,1). This is empirical whole-run component regression, not exact tensor liveness or a sum/max of measured stage peaks. Intercept and coefficients jointly fit runtime/activation effects; coefficients are not causal components.",
  "cost": "Report full permitted fitting pool's actual attempts separately from donor-copy selected subset. Completed-only regression still reports full pool acquisition. Existing source reuse has zero incremental GPU collection; a cold start does not. CPU fitting/prediction time separately.",
  "cost_scope": "Both periods reserve four GPUs. Report task-provisioned GPU-time (2*t2+4*t4), reservation during invocations 4*(t2+t4), and whole allocation4*T separately. Include failed/unresolved work; queue wait is separate. None is utilization-weighted time.",
  "data_sha256": {
    "data/codecontests/heavy_tail/test.parquet": "e9d077a023de7f80aa013c5541c33b5978a43e203ce916045bc72c4fe5c62a82",
    "data/codecontests/heavy_tail/train.parquet": "0bc6ec8fd7ef1618a604417faa4bb13cb9a0117dcffb75685b2c80c1da95f697",
    "data/gsm8k/test.parquet": "0dcd50ed32caa9d8f434d4e3ef8031bc3e49b0f823655a53be5c002e727f17dd",
    "data/gsm8k/train.parquet": "8fb13a0cd8621e5fcacdee3ffe28b3a369975478ea7ab514781f3f190cba2488",
    "data/math/test.parquet": "e0cb48b1e49874c71f4a02dff944eba08844067d98dc5bdc89c004644e6b597d",
    "data/math/train.parquet": "4aa303577e968be6f810600730c970b14be659a9ae9072cc2afefd04d67e7cb8"
  },
  "device_capacity_mib": 40960,
  "donor_rule": "Same workload and compound level required. Prefer same GPU count, then same architecture-family prior, then smallest absolute log parameter-count ratio; tie-break by configuration_id. A missing exact GPU match uses a disclosed different-GPU donor. No outcomes affect donor selection.",
  "evaluation_seeds": [
    151,
    152,
    153
  ],
  "failure_policy": "No reruns/replacements/requeues. Each period has a persistent launch ledger. Continue the second period after any first-period outcome only after all four devices pass identity/cleanup/idle checks. Otherwise retain not-started. Missing GPU identity/evidence is unresolved, not OOM. Early validated OOM need not reach full worker initialization. Do not drop incomplete pairs.",
  "feature_scope": "Architecture/checkpoint-header and configured shape volumes only. Largest-unit proxy=max(largest decoder block, root non-block elements, largest weight tensor); not an observed wrapping map. Checkpoint-boundary and vocabulary-output volumes are predictive covariates, not exact live activation totals. No source identity, dataset name, compound level, actual generated length or outcome appears as a numeric feature.",
  "features": [
    "actor_shards_gib",
    "adapter_optimizer_gib",
    "generation_budget_gib",
    "generation_replica_gib",
    "largest_unit_proxy_gib",
    "checkpoint_boundary_volume_gib",
    "vocabulary_output_volume_gib",
    "actor_parameter_offload"
  ],
  "frozen_at_utc": "2026-09-15T13:33:20.483317+00:00",
  "gpus": "NVIDIA A100-SXM4-40GB",
  "input_sha256": {
    "benchmark/attempts.csv": "397c8caaf0d3abe06587fd649c181fe71d5b8b5f5e24e0591cc7e56d38e275c1",
    "benchmark/configurations.csv": "3a77c96a67b82e01d23fb6f7a440cba23041bed1dae2749072cb9abb5b5d239d",
    "benchmark/estimation/matrix.csv": "1ff175e22c76bf1af3857b4ae57cd4f78bafe0d280a295d696e96815ef85e9c8",
    "benchmark/estimation/model_metadata.json": "2f0ce16c13e72900d2a60f9b7ad28d4dc5ed43d7915d8a88925ba9c5ffd684ad",
    "benchmark/estimation/targets.csv": "f2481278127fa726f24297d81fc9df46e999315fe543167ed398e671fffa522f",
    "benchmark/outcomes.csv": "af05cd91ed1de843735cc188e5e54dbd1645b3ed91c97f503ac3de67bc5f61c9",
    "memory_tuner/estimation_baselines.py": "0658f92a18147fd67909ca49fa3dc32020217cfd61d34651161c95baa80dd55a",
    "memory_tuner/model_memory_metadata.py": "8845a1197b49d9463ebe5dc8c953463dd2106361c54e7b12244057c48aaa2712",
    "memory_tuner/plan_estimation_study.py": "16855f584441528870fcca38c3a19eafd1234c3eacb9b43cc9eebdd4bd6ad862"
  },
  "label_mapping": "Component regression first rejects a positive resident-actor startup-budget check as memory_failure. Otherwise regression peak > capacity predicts memory_failure; otherwise > margin predicts above_margin; otherwise within_margin. This is an evaluated heuristic, not a claim that every allocation failure requires an observed capacity crossing.",
  "memory_margin_limit_mib": 38912,
  "model": "Qwen/Qwen2.5-7B-Instruct",
  "model_revision": "a09a35458c702b33eeacc393d103063234e8bc28",
  "outcome_rule": "A configuration has a repeated memory label only if all three seed slots have validated memory outcomes. Any diagnosed memory failure then implies memory_failure; otherwise any completed peak above38912MiB implies above_margin; otherwise within_margin. Unresolved/not-started slots remain explicit with known failure/margin flags, not replaced or discarded.",
  "pair_order_seed": 2026091501,
  "planned_pairs": 18,
  "planned_processes": 36,
  "prior_visibility": "Old labels and prior manuscript findings were public during design. Retrospective holdout is not blind method development. Historical7B exploratory work used other workflows and is excluded from fitting/selection. New standardGRPO predictions are frozen before their outcomes, not an unseen-family/hardware evaluation.",
  "prospective_design": "All 90 old configurations fit predictions for 12 new 7B configurations before execution.",
  "protocol_version": "estimation-1.0",
  "randomization": "9 two-GPU-first and 9 four-GPU-first pairs, balanced as closely as possible within each three-seed workload/level cell. Each of six two-of-four allocation-ordinal subsets occurs three times, assigned independently of period order. Physical UUIDs resolve before either period.",
  "resource_cap": {
    "gpus_per_allocation": 4,
    "idle_timeout_seconds": 180,
    "initial_allocations": 18,
    "max_concurrent_allocations": 3,
    "maximum_reserved_gpu_hours": 66,
    "payload_timeout_seconds": 1500,
    "requeue": false,
    "retries": 0,
    "wall_minutes_per_allocation": 55
  },
  "retrospective_design": "Three leave-model-family-out folds, 60 fitting / 30 test configurations each.",
  "source_configuration_ids": [
    "cfg-072bd7669d20f8fa",
    "cfg-0d9ba9215ab5683e",
    "cfg-0f540d3f6fe4661b",
    "cfg-0f8a31ef7ac4c551",
    "cfg-10644b5d0a82d5c3",
    "cfg-1432bb8a4d9c3b8c",
    "cfg-17e69bcf1b041bd9",
    "cfg-18285c3cb50308d4",
    "cfg-1c5278f8be90a50a",
    "cfg-2afbe250af9cd3e1",
    "cfg-301e4dae7048c6ec",
    "cfg-30f98456fdb322c1",
    "cfg-32977d5aa42a41cb",
    "cfg-338d9224eb9d2f3a",
    "cfg-352f4dbc55fbcd3c",
    "cfg-371ae37408089efe",
    "cfg-399f6b038d6f65f9",
    "cfg-3c86a11fdb8455cb",
    "cfg-3dc042a103546eac",
    "cfg-3f0f48a3c570a0c8",
    "cfg-49d9bccfe873f5c6",
    "cfg-5244d13eac3116ad",
    "cfg-55811d23c5144bb7",
    "cfg-5839ccf95c2c1722",
    "cfg-5ff9621270e710ed",
    "cfg-61c14de21a34d0e6",
    "cfg-62f371a80968a0ba",
    "cfg-6a4562db98b38d6f",
    "cfg-6d54ac65d934f404",
    "cfg-714c540f76d9525d",
    "cfg-73c06764ba28a56b",
    "cfg-78c440d3891ddbc2",
    "cfg-7a0e81934d3398ee",
    "cfg-7a9a974958c57abc",
    "cfg-7df2428553b76877",
    "cfg-7f23cab692546e3f",
    "cfg-835067f7405e89a2",
    "cfg-896685010703c0fb",
    "cfg-89ca48ce88ea694e",
    "cfg-8bd7050cd7f49e78",
    "cfg-9160dc45a0171a10",
    "cfg-93d4f41e600c9079",
    "cfg-966f5804dc918967",
    "cfg-96ccf395b84393f7",
    "cfg-97107ceba8bf0cbe",
    "cfg-9758870c0a0b4d69",
    "cfg-9c461415e6bb9702",
    "cfg-9f624ec22aa3dde0",
    "cfg-a026693bae37d30b",
    "cfg-a23a9ffc1f670139",
    "cfg-a24e9cdd2f6143f2",
    "cfg-a3987314cb2f9f12",
    "cfg-a94bf7877633dfda",
    "cfg-aa33c72e0a449b9c",
    "cfg-acfa4acda15c3599",
    "cfg-b5007322fb2e1772",
    "cfg-b5352215babfeba6",
    "cfg-b56fb353c2f2fa3e",
    "cfg-b8dd70ab682c13b2",
    "cfg-b8e90bd69c9744ea",
    "cfg-bae2977da7957f72",
    "cfg-bfb83ff32b7fd921",
    "cfg-c0605c1607caa079",
    "cfg-c2a8e6e8e140e109",
    "cfg-c3f0ad157d299d39",
    "cfg-ca71b56dc3189305",
    "cfg-cad8341dbbff10ba",
    "cfg-cc2c35944156e5d4",
    "cfg-cc5f4f0c2e1256ba",
    "cfg-cc900fb7731c3f49",
    "cfg-cd3974595f9db882",
    "cfg-d02503f8c9804a2d",
    "cfg-d138048feeb8fe5d",
    "cfg-d4a213515805a9a7",
    "cfg-d9397d15f234d541",
    "cfg-db87c67536995ab0",
    "cfg-e117f15dd5ccfb30",
    "cfg-e2a205be8efba055",
    "cfg-e8893b12558f51dd",
    "cfg-e91942abb5b4f847",
    "cfg-ea5a23a40ad5ca50",
    "cfg-ea92cccc91029465",
    "cfg-f009e9e3891c06f4",
    "cfg-f03e4e98c682240e",
    "cfg-f439d2dd90137a80",
    "cfg-f75b68f479767290",
    "cfg-fad1b555f8b37235",
    "cfg-fbe1c0422f98cb38",
    "cfg-fd4d4789145230df",
    "cfg-fd5bb0db68b0dae3"
  ],
  "source_configurations": 90,
  "source_selection": "Only 72 boundary and 18 four_gpu source configurations; all prior7B exploration, other controls and the 48-invocation prospective admission panel are excluded. No new two-GPU outcome updates predictions for four GPUs or vice versa.",
  "source_studies": [
    "boundary",
    "four_gpu"
  ],
  "startup_check": "Separate one-sided diagnostic only for resident actor: 4(P+R)/G+u*C>C. Shared-reference counted once; generation budget includes its replica/cache. Assumes actor shards resident before vLLM free-memory check. Passing does not predict completion or margin compliance; no target observation used.",
  "status": "specified_before_fitting_and_new_standard_grpo_outcomes",
  "subset_seed": 2026091502,
  "target_configuration_ids": [
    "est-qwen25-7b-gsm8k-c2-2gpu",
    "est-qwen25-7b-gsm8k-c2-4gpu",
    "est-qwen25-7b-gsm8k-c3-2gpu",
    "est-qwen25-7b-gsm8k-c3-4gpu",
    "est-qwen25-7b-math-c2-2gpu",
    "est-qwen25-7b-math-c2-4gpu",
    "est-qwen25-7b-math-c3-2gpu",
    "est-qwen25-7b-math-c3-4gpu",
    "est-qwen25-7b-code_heavy_tail-c2-2gpu",
    "est-qwen25-7b-code_heavy_tail-c2-4gpu",
    "est-qwen25-7b-code_heavy_tail-c3-2gpu",
    "est-qwen25-7b-code_heavy_tail-c3-4gpu"
  ],
  "target_configurations": 12,
  "task_gpu_counts": [
    2,
    4
  ]
}