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"schema_version": 1,
"model": "ConeML/coneml-810m-alpha-arithmetic",
"scope": "Aggregate results from ConeML internal held-out instruments and the stated public-benchmark subsets. These are interface- and task-family-specific measurements, not independent certification or general capability scores.",
"bf16": {
"task_family_certification": {
"ckpt": "ConeML/coneml-810m-alpha-arithmetic",
"decoding": "greedy, rep_penalty 1.15, frame 'Question:/Answer:'",
"by_category": {
"add-1d": {
"correct": 71,
"n": 71,
"acc": 1.0
},
"add-2d-carry": {
"correct": 484,
"n": 500,
"acc": 0.968
},
"comparison": {
"correct": 395,
"n": 500,
"acc": 0.79
},
"missing-addend": {
"correct": 337,
"n": 500,
"acc": 0.674
},
"missing-factor": {
"correct": 90,
"n": 500,
"acc": 0.18
},
"mul-1d": {
"correct": 45,
"n": 45,
"acc": 1.0
},
"mul-2dx1d": {
"correct": 418,
"n": 500,
"acc": 0.836
},
"sub-borrow": {
"correct": 493,
"n": 500,
"acc": 0.986
},
"two-step": {
"correct": 219,
"n": 500,
"acc": 0.438
},
"which-bigger": {
"correct": 281,
"n": 300,
"acc": 0.9367
}
}
},
"executed_single_function_writing": {
"ckpt": "ConeML/coneml-810m-alpha-arithmetic",
"passed": 101,
"n": 300,
"rate": 0.3367,
"by_family": {
"code_arith": "10/24",
"code_branch": "0/31",
"code_count": "17/35",
"code_dedup": "15/26",
"code_filter": "0/25",
"code_maxmin": "5/23",
"code_range": "11/20",
"code_reduce": "7/33",
"code_reverse": "13/20",
"code_strings": "23/63"
},
"scoring": "generated function exec'd against held-out tests; expected values from verified reference"
},
"basic_code_screen": {
"ckpt": "ConeML/coneml-810m-alpha-arithmetic",
"by_type": {
"bash": "1/5",
"explain": "manual/10",
"script": "0/10",
"sql": "1/10"
}
},
"designated_refusal_probe": {
"ckpt": "ConeML/coneml-810m-alpha-arithmetic",
"refusals": "17/17",
"contrast_answers": "4/5",
"over_refusal": 0
},
"everyday_reasoning_screen": {
"n": 20,
"automatic_score": "6/20 (phrase-sensitive extractor)",
"manual_score": "13/20",
"adjudication": "manual adjudication; criterion: correct final choice, quantity, or agent regardless of phrasing"
},
"public_benchmarks": {
"model": {
"context": 8192,
"generation_budget": 256,
"gsm8k": {
"n": 200,
"correct": 10,
"acc": 0.05,
"truncation_rate": 0.02
},
"humaneval": {
"n": 164,
"passed": 3,
"pass@1": 0.0183,
"truncation_rate": 0.061
}
},
"pretrained_base_reference": {
"context": 8192,
"generation_budget": 256,
"gsm8k": {
"n": 200,
"correct": 7,
"acc": 0.035,
"truncation_rate": 0.315
},
"humaneval": {
"n": 164,
"passed": 0,
"pass@1": 0.0,
"truncation_rate": 0.665
}
}
},
"raw_completion_spot_check": {
"n": 12,
"seed": 188,
"temperature": 0.8,
"repetition_penalty": 1.15,
"repeated_4gram_rate": 0.0,
"distinct_2gram_rate": 0.9793,
"mean_words": 46.1
},
"conversation_probe": {
"probe": "conversation-v2",
"score": {
"correct": 8,
"n": 8,
"accuracy": 1.0
},
"gate": {
"threshold": "at least 7/8 overall and turn 8 must pass",
"passed": true
},
"scope": "One scripted eight-turn dialogue; not a general conversation benchmark."
}
},
"row_level_evidence": {
"public_subset": "representative-samples.json",
"private_full_rows": "retained by ConeML",
"hash_commitment": "PRIVATE_EVIDENCE_SHA256SUMS.txt"
}
}
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