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piq41_advanced_numeric_pattern × Qwen 2.5 14B ✓ PASS
BENCHMARK QUESTION
Question ID
piq41_advanced_numeric_patternPrompt
Sequence: 10, 11, 13, 16, 20, ?; differences are 1, 2, 3, 4,... What is the next term?Options
—Tags
[ "numeric_sequence", "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
25Evaluation rule type
normalized_exactRaw evaluation rule
{
"expected": 25,
"type": "normalized_exact"
}CANDIDATE / MODEL OBSERVATION
Model display name
Qwen 2.5 14BModel ID
qwen2.5-14bRaw model response
25Execution 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": "25",
"expected_normalized": "25"
}EXECUTION EVIDENCE
effective_candidate_prompt
Sequence: 10, 11, 13, 16, 20, ?; differences are 1, 2, 3, 4,... What is the next term? Return only the final answer. Do not include explanation or reasoning. Return only the final answer. Do not include explanation.benchmark_prompt
Sequence: 10, 11, 13, 16, 20, ?; differences are 1, 2, 3, 4,... What is the next term?latency_ms
91.77580100367777usage
{
"input_tokens": 97,
"output_tokens": 3
}provider_metadata{
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 91.44469699822366,
"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": 29580783104,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
}timestamp2026-08-25T18:06:37.801411+00:00response_id
f9abfa8017884605b298a598523e5601run_id
88792604e7e84090a9746aa06ff4ea8bExecution error
—Run artifact directory
runs/pattern-iq/qwen-2.5-14bRaw stored response
{
"benchmark_prompt": "Sequence: 10, 11, 13, 16, 20, ?; differences are 1, 2, 3, 4,... What is the next term?",
"effective_candidate_prompt": "Sequence: 10, 11, 13, 16, 20, ?; differences are 1, 2, 3, 4,... What is the next term?\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": 91.77580100367777,
"model_id": "qwen2.5-14b",
"provider_metadata": {
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 91.44469699822366,
"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": 29580783104,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
},
"question_id": "piq41_advanced_numeric_pattern",
"response_id": "f9abfa8017884605b298a598523e5601",
"run_id": "88792604e7e84090a9746aa06ff4ea8b",
"structured_output": null,
"text": "25",
"timestamp": "2026-08-25T18:06:37.801411+00:00",
"usage": {
"input_tokens": 97,
"output_tokens": 3
}
}Raw stored evaluation{
"conclusive": true,
"error": null,
"evaluator_name": "pegasus.normalized_exact",
"evaluator_version": "1",
"evidence": {
"actual_normalized": "25",
"expected_normalized": "25"
},
"gate_status": "pass",
"reason": "deterministic rule satisfied",
"response_id": "f9abfa8017884605b298a598523e5601",
"rule_type": "normalized_exact",
"score": 1.0,
"status": "passed"
}