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piq38v2_matrix_column_rule × Gemma 2 9B IT ✗ FAIL
BENCHMARK QUESTION
Question ID
piq38v2_matrix_column_rulePrompt
In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing?Options
—Tags
[ "logic_grid", "hard" ]Difficulty
—Metadata
—Response contract
{
"instruction": "Return only the final answer. Do not include explanation.",
"mode": "short_answer"
}Question provenance—
GOLD / BENCHMARK TRUTH
Raw expected value
13Evaluation rule type
normalized_exactRaw evaluation rule
{
"expected": 13,
"type": "normalized_exact"
}CANDIDATE / MODEL OBSERVATION
Model display name
Gemma 2 9B ITModel ID
gemma2-9b-itRaw model response
14Execution status
successStructured output
—Model configuration
{
"adapter": "transformers_local",
"base_url": null,
"device": "cuda",
"dtype": "auto",
"extra_headers": {},
"generation": {
"do_sample": false
},
"id": "gemma2-9b-it",
"local_files_only": true,
"max_new_tokens": 32,
"model": "[local-model-path-redacted]/gemma2-9b-it",
"quantization_method": null,
"secret_env": null,
"supports_json_mode": false,
"timeout": 60
}EVALUATION RESULT
Result
FAILStored evaluation status
failedScore
0.0gate_status
failconclusive
trueevaluator_name
pegasus.normalized_exactevaluator_version
1rule_type
normalized_exactReason
deterministic rule conclusively not satisfiedEvaluator error
—
GRADER EVIDENCE
evaluation.evidence
{
"actual_normalized": "14",
"expected_normalized": "13"
}EXECUTION EVIDENCE
effective_candidate_prompt
In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing? Return only the final answer. Do not include explanation or reasoning. Return only the final answer. Do not include explanation.benchmark_prompt
In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing?latency_ms
92.80761200352572usage
{
"input_tokens": 90,
"output_tokens": 4
}provider_metadata{
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 92.44833499542437,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/gemma2-9b-it",
"model_load_ms": 3646.1853710061405,
"peak_cuda_memory_allocated_bytes": 18544040448,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
}timestamp2026-08-25T18:16:46.652810+00:00response_id
eb3a3a7d007944a992f7b4853a9512ffrun_id
a76b48f155d1417ea42cb8c6269bb4baExecution error
—Run artifact directory
runs/pattern-iq/gemma-2-9b-itRaw stored response
{
"benchmark_prompt": "In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing?",
"effective_candidate_prompt": "In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing?\n\nReturn only the final answer. Do not include explanation or reasoning.\n\nReturn only the final answer. Do not include explanation.",
"error": null,
"execution_status": "success",
"latency_ms": 92.80761200352572,
"model_id": "gemma2-9b-it",
"provider_metadata": {
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 92.44833499542437,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/gemma2-9b-it",
"model_load_ms": 3646.1853710061405,
"peak_cuda_memory_allocated_bytes": 18544040448,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
},
"question_id": "piq38v2_matrix_column_rule",
"response_id": "eb3a3a7d007944a992f7b4853a9512ff",
"run_id": "a76b48f155d1417ea42cb8c6269bb4ba",
"structured_output": null,
"text": "14",
"timestamp": "2026-08-25T18:16:46.652810+00:00",
"usage": {
"input_tokens": 90,
"output_tokens": 4
}
}Raw stored evaluation{
"conclusive": true,
"error": null,
"evaluator_name": "pegasus.normalized_exact",
"evaluator_version": "1",
"evidence": {
"actual_normalized": "14",
"expected_normalized": "13"
},
"gate_status": "fail",
"reason": "deterministic rule conclusively not satisfied",
"response_id": "eb3a3a7d007944a992f7b4853a9512ff",
"rule_type": "normalized_exact",
"score": 0.0,
"status": "failed"
}