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piq46v2_interleaved_growth × Qwen 2.5 14B AWQ ✓ PASS
BENCHMARK QUESTION
Question ID
piq46v2_interleaved_growthPrompt
Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. 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
80Evaluation rule type
normalized_exactRaw evaluation rule
{
"expected": 80,
"type": "normalized_exact"
}CANDIDATE / MODEL OBSERVATION
Model display name
Qwen 2.5 14B AWQModel ID
qwen2.5-14b-awqRaw model response
80Execution 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-awq",
"local_files_only": true,
"max_new_tokens": 32,
"model": "[local-model-path-redacted]/qwen2.5-14b-awq",
"quantization_method": "awq",
"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": "80",
"expected_normalized": "80"
}EXECUTION EVIDENCE
effective_candidate_prompt
Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. 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
Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What is missing?latency_ms
86.35430400318usage
{
"input_tokens": 100,
"output_tokens": 3
}provider_metadata{
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 85.86030500009656,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/qwen2.5-14b-awq",
"model_load_ms": 2744.904780993238,
"peak_cuda_memory_allocated_bytes": 10060635648,
"provider": "transformers_local",
"quantization_method": "awq",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
}timestamp2026-08-25T18:06:46.188908+00:00response_id
1b6d0b21e65f408c9c7f1de3d819dc6frun_id
3ec534194b614717a2e863d43743172eExecution error
—Run artifact directory
runs/pattern-iq/qwen-2.5-14b-awqRaw stored response
{
"benchmark_prompt": "Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What is missing?",
"effective_candidate_prompt": "Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. 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": 86.35430400318,
"model_id": "qwen2.5-14b-awq",
"provider_metadata": {
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 85.86030500009656,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/qwen2.5-14b-awq",
"model_load_ms": 2744.904780993238,
"peak_cuda_memory_allocated_bytes": 10060635648,
"provider": "transformers_local",
"quantization_method": "awq",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
},
"question_id": "piq46v2_interleaved_growth",
"response_id": "1b6d0b21e65f408c9c7f1de3d819dc6f",
"run_id": "3ec534194b614717a2e863d43743172e",
"structured_output": null,
"text": "80",
"timestamp": "2026-08-25T18:06:46.188908+00:00",
"usage": {
"input_tokens": 100,
"output_tokens": 3
}
}Raw stored evaluation{
"conclusive": true,
"error": null,
"evaluator_name": "pegasus.normalized_exact",
"evaluator_version": "1",
"evidence": {
"actual_normalized": "80",
"expected_normalized": "80"
},
"gate_status": "pass",
"reason": "deterministic rule satisfied",
"response_id": "1b6d0b21e65f408c9c7f1de3d819dc6f",
"rule_type": "normalized_exact",
"score": 1.0,
"status": "passed"
}