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piq40_logic_symmetric × Qwen 2.5 14B ✓ PASS
BENCHMARK QUESTION
Question ID
piq40_logic_symmetricPrompt
In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, 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
0Evaluation rule type
normalized_exactRaw evaluation rule
{
"expected": 0,
"type": "normalized_exact"
}CANDIDATE / MODEL OBSERVATION
Model display name
Qwen 2.5 14BModel ID
qwen2.5-14bRaw model response
0Execution status
successStructured output
—Model configuration
{
"adapter": "transformers_local",
"base_url": null,
"device": "cuda",
"dtype": "auto",
"extra_headers": {},
"generation": {
"do_sample": false
},
"id": "qwen2.5-14b",
"local_files_only": true,
"max_new_tokens": 32,
"model": "[local-model-path-redacted]/qwen2.5-14b",
"quantization_method": null,
"secret_env": null,
"supports_json_mode": false,
"timeout": 60
}EVALUATION RESULT
Result
PASSStored evaluation status
passedScore
1.0gate_status
passconclusive
trueevaluator_name
pegasus.normalized_exactevaluator_version
1rule_type
normalized_exactReason
deterministic rule satisfiedEvaluator error
—
GRADER EVIDENCE
evaluation.evidence
{
"actual_normalized": "0",
"expected_normalized": "0"
}EXECUTION EVIDENCE
effective_candidate_prompt
In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, 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 row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?latency_ms
58.11220999748912usage
{
"input_tokens": 87,
"output_tokens": 2
}provider_metadata{
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 57.75508900114801,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/qwen2.5-14b",
"model_load_ms": 71984.59202000231,
"peak_cuda_memory_allocated_bytes": 29577572864,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
}timestamp2026-08-25T18:06:37.743154+00:00response_id
83ad74852a264c0f869079368c036ea3run_id
88792604e7e84090a9746aa06ff4ea8bExecution error
—Run artifact directory
runs/pattern-iq/qwen-2.5-14bRaw stored response
{
"benchmark_prompt": "In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?",
"effective_candidate_prompt": "In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, 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": 58.11220999748912,
"model_id": "qwen2.5-14b",
"provider_metadata": {
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 57.75508900114801,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/qwen2.5-14b",
"model_load_ms": 71984.59202000231,
"peak_cuda_memory_allocated_bytes": 29577572864,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
},
"question_id": "piq40_logic_symmetric",
"response_id": "83ad74852a264c0f869079368c036ea3",
"run_id": "88792604e7e84090a9746aa06ff4ea8b",
"structured_output": null,
"text": "0",
"timestamp": "2026-08-25T18:06:37.743154+00:00",
"usage": {
"input_tokens": 87,
"output_tokens": 2
}
}Raw stored evaluation{
"conclusive": true,
"error": null,
"evaluator_name": "pegasus.normalized_exact",
"evaluator_version": "1",
"evidence": {
"actual_normalized": "0",
"expected_normalized": "0"
},
"gate_status": "pass",
"reason": "deterministic rule satisfied",
"response_id": "83ad74852a264c0f869079368c036ea3",
"rule_type": "normalized_exact",
"score": 1.0,
"status": "passed"
}