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docs: attach pilot and sealed evaluation reports

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  1. e4-report.json +206 -0
e4-report.json ADDED
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+ {
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+ "schema_version": 1,
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+ "report": "e4-sealed",
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+ "generated_at_utc": "2026-09-12",
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+ "suite_id": "e4-humanevalplus-sealed-v1",
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+ "rows": {
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+ "original-bf16": {
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+ "session": "e4-sealed-20260912T135909Z",
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+ "generation_summary": {
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+ "task_count": 128,
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+ "generation_record_count": 128,
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+ "terminal_record_count": 128,
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+ "retried_task_count": 0,
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+ "infrastructure_failure_count": 0,
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+ "duplicate_generation_keys": 0,
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+ "total_completion_tokens": 211732,
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+ "generated_programs_executed": 0
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+ },
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+ "extraction_yield": 0.789062,
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+ "failed_extraction_count": 27,
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+ "scoring_evidence": "reports/e4/e4-sealed-20260912T135909Z/original-bf16/scoring/e3-score-20260912T143512162Z",
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+ "scored_task_count": 101,
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+ "pass_at_1_base": 0.6138613861386139,
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+ "pass_at_1_plus": 0.5544554455445545,
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+ "mean_decode_tokens_per_second": 101.3,
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+ "pass_count_plus": 56,
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+ "pass_count_base": 62,
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+ "plus_rate_absence_as_zero": 0.4375,
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+ "base_rate_absence_as_zero": 0.4844
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+ },
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+ "merged-bf16": {
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+ "session": "e4-sealed-20260912T135057Z",
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+ "generation_summary": {
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+ "task_count": 128,
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+ "generation_record_count": 128,
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+ "terminal_record_count": 128,
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+ "retried_task_count": 0,
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+ "infrastructure_failure_count": 0,
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+ "duplicate_generation_keys": 0,
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+ "total_completion_tokens": 18992,
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+ "generated_programs_executed": 0
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+ },
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+ "extraction_yield": 0.984375,
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+ "failed_extraction_count": 2,
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+ "scoring_evidence": "reports/e4/e4-sealed-20260912T135057Z/merged-bf16/scoring/e3-score-20260912T135917459Z",
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+ "scored_task_count": 126,
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+ "pass_at_1_base": 0.46825396825396826,
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+ "pass_at_1_plus": 0.40476190476190477,
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+ "mean_decode_tokens_per_second": 113.6,
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+ "pass_count_plus": 51,
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+ "pass_count_base": 59,
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+ "plus_rate_absence_as_zero": 0.3984,
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+ "base_rate_absence_as_zero": 0.4609
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+ },
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+ "q8_0": {
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+ "session": "e4-sealed-20260912T135437Z",
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+ "generation_summary": {
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+ "task_count": 128,
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+ "generation_record_count": 128,
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+ "terminal_record_count": 128,
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+ "retried_task_count": 0,
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+ "infrastructure_failure_count": 0,
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+ "duplicate_generation_keys": 0,
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+ "total_completion_tokens": 16425,
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+ "generated_programs_executed": 0
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+ },
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+ "extraction_yield": 0.992188,
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+ "failed_extraction_count": 1,
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+ "scoring_evidence": "reports/e4/e4-sealed-20260912T135437Z/q8_0/scoring/e3-score-20260912T140124851Z",
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+ "scored_task_count": 127,
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+ "pass_at_1_base": 0.4645669291338583,
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+ "pass_at_1_plus": 0.41732283464566927,
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+ "mean_decode_tokens_per_second": 181.8,
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+ "pass_count_plus": 53,
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+ "pass_count_base": 59,
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+ "plus_rate_absence_as_zero": 0.4141,
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+ "base_rate_absence_as_zero": 0.4609
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+ },
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+ "q6_k": {
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+ "session": "e4-sealed-20260912T135648Z",
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+ "generation_summary": {
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+ "task_count": 128,
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+ "generation_record_count": 128,
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+ "terminal_record_count": 128,
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+ "retried_task_count": 0,
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+ "infrastructure_failure_count": 0,
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+ "duplicate_generation_keys": 0,
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+ "total_completion_tokens": 19346,
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+ "generated_programs_executed": 0
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+ },
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+ "extraction_yield": 0.984375,
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+ "failed_extraction_count": 2,
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+ "scoring_evidence": "reports/e4/e4-sealed-20260912T135648Z/q6_k/scoring/e3-score-20260912T140241797Z",
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+ "scored_task_count": 126,
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+ "pass_at_1_base": 0.42857142857142855,
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+ "pass_at_1_plus": 0.3888888888888889,
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+ "mean_decode_tokens_per_second": 188.5,
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+ "pass_count_plus": 49,
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+ "pass_count_base": 54,
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+ "plus_rate_absence_as_zero": 0.3828,
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+ "base_rate_absence_as_zero": 0.4219
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+ }
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+ },
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+ "paired_deltas": {
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+ "note": "Paired comparisons use only tasks scored in both rows (extraction failures score zero by absence).",
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+ "original_vs_merged": {
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+ "common_scored_tasks": 99,
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+ "merged_plus_pass_count": 49,
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+ "original_plus_pass_count": 56,
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+ "fine_tune_gained": [
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+ "HumanEval/104",
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+ "HumanEval/105",
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+ "HumanEval/12",
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+ "HumanEval/13",
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+ "HumanEval/149",
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+ "HumanEval/21",
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+ "HumanEval/23",
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+ "HumanEval/25",
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+ "HumanEval/28",
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+ "HumanEval/35",
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+ "HumanEval/5",
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+ "HumanEval/53",
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+ "HumanEval/59",
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+ "HumanEval/60",
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+ "HumanEval/61",
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+ "HumanEval/8"
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+ ],
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+ "fine_tune_lost": [
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+ "HumanEval/100",
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+ "HumanEval/103",
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+ "HumanEval/110",
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+ "HumanEval/111",
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+ "HumanEval/121",
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+ "HumanEval/127",
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+ "HumanEval/139",
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+ "HumanEval/141",
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+ "HumanEval/151",
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+ "HumanEval/152",
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+ "HumanEval/156",
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+ "HumanEval/159",
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+ "HumanEval/161",
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+ "HumanEval/24",
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+ "HumanEval/36",
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+ "HumanEval/41",
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+ "HumanEval/49",
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+ "HumanEval/69",
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+ "HumanEval/70",
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+ "HumanEval/71",
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+ "HumanEval/81",
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+ "HumanEval/95",
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+ "HumanEval/98"
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+ ]
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+ },
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+ "merged_vs_q8_0": {
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+ "common_scored_tasks": 126,
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+ "quant_lost_vs_merged": [
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+ "HumanEval/105"
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+ ],
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+ "quant_gained_vs_merged": [
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+ "HumanEval/88",
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+ "HumanEval/89"
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+ ]
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+ },
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+ "merged_vs_q6_k": {
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+ "common_scored_tasks": 126,
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+ "quant_lost_vs_merged": [
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+ "HumanEval/105",
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+ "HumanEval/146",
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+ "HumanEval/80"
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+ ],
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+ "quant_gained_vs_merged": [
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+ "HumanEval/70"
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+ ]
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+ }
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+ },
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+ "deployment_gate_verdict": {
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+ "selected_quant": "q6_k",
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+ "gate_frozen": "Q6_K deployable iff sealed pass@1(plus) within 2 pp of merged-bf16 AND no new paired failure class absent from merged-bf16",
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+ "delta_vs_merged_pp": -1.59,
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+ "paired_losses": [
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+ "HumanEval/105",
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+ "HumanEval/146",
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+ "HumanEval/80"
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+ ],
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+ "paired_gains": [
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+ "HumanEval/70"
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+ ],
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+ "assessment": "PASS: -1.59 pp (within the 2 pp gate); three scattered single-task losses with one gain is quantization noise near token ties, not a new failure class. Q8_0 is quality-equivalent-or-better (net +1 task) but 296 MB larger; Q6_K remains the frozen selection.",
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+ "runner_up": {
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+ "alias": "q8_0",
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+ "note": "net +1 paired task vs merged-bf16 at 1246 MB"
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+ }
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+ },
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+ "findings": {
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+ "fine_tune_effect": "Negative, but smaller than the pilot suggested: on the 99 tasks scored in both rows the fine-tune passes 49 versus the original 56 (16 gained, 23 lost, net -7, -7.1 pp paired). Counting every unextractable output as a deployed failure: original 0.438 vs merged 0.398 of 128.",
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+ "quantization_effect": "Q8_0 and Q6_K stay within noise of merged BF16 on paired tasks.",
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+ "original_reasoning_leakage": "The original model emitted 211,732 completion tokens (about 1,654 per task) with 27 outputs unextractable; the fine-tune emitted 18,992 tokens (about 148 per task) with 2 unextractable.",
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+ "harness_health": "Zero infrastructure failures, zero retries, zero duplicate keys across all four rows."
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+ },
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+ "caveats": [
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+ "Scorer pass@1 excludes unextractable outputs from the denominator; plus_rate_absence_as_zero is the deployment-honest rate and is reported alongside.",
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+ "One greedy sample per task; no seed variance measured (deterministic regression track).",
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+ "KodCode contamination caveat applies to absolute scores; paired deltas remain the scientific comparison.",
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+ "HumanEval/105 is a shared quantization-sensitive task lost by both quants."
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+ ]
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+ }