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piq07_letters_skip_pattern × Qwen 2.5 14B ✓ PASS
BENCHMARK QUESTION
Question ID
piq07_letters_skip_patternPrompt
Find the next letter when alphabet-position increments are +2, +3, +4, +5: A, C, F, J, ?Options
—Tags
[ "letter_sequence", "easy" ]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
OEvaluation rule type
normalized_exactRaw evaluation rule
{
"expected": "O",
"type": "normalized_exact"
}CANDIDATE / MODEL OBSERVATION
Model display name
Qwen 2.5 14BModel ID
qwen2.5-14bRaw model response
OExecution 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": "o",
"expected_normalized": "o"
}EXECUTION EVIDENCE
effective_candidate_prompt
Find the next letter when alphabet-position increments are +2, +3, +4, +5: A, C, F, J, ? Return only the final answer. Do not include explanation or reasoning. Return only the final answer. Do not include explanation.benchmark_prompt
Find the next letter when alphabet-position increments are +2, +3, +4, +5: A, C, F, J, ?latency_ms
58.27536700235214usage
{
"input_tokens": 83,
"output_tokens": 2
}provider_metadata{
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 57.92095100332517,
"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": 29576288768,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
}timestamp2026-08-25T18:06:34.515572+00:00response_id
198ba3be687b44edbf911a89af9768fcrun_id
88792604e7e84090a9746aa06ff4ea8bExecution error
—Run artifact directory
runs/pattern-iq/qwen-2.5-14bRaw stored response
{
"benchmark_prompt": "Find the next letter when alphabet-position increments are +2, +3, +4, +5: A, C, F, J, ?",
"effective_candidate_prompt": "Find the next letter when alphabet-position increments are +2, +3, +4, +5: A, C, F, J, ?\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": 58.27536700235214,
"model_id": "qwen2.5-14b",
"provider_metadata": {
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 57.92095100332517,
"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": 29576288768,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
},
"question_id": "piq07_letters_skip_pattern",
"response_id": "198ba3be687b44edbf911a89af9768fc",
"run_id": "88792604e7e84090a9746aa06ff4ea8b",
"structured_output": null,
"text": "O",
"timestamp": "2026-08-25T18:06:34.515572+00:00",
"usage": {
"input_tokens": 83,
"output_tokens": 2
}
}Raw stored evaluation{
"conclusive": true,
"error": null,
"evaluator_name": "pegasus.normalized_exact",
"evaluator_version": "1",
"evidence": {
"actual_normalized": "o",
"expected_normalized": "o"
},
"gate_status": "pass",
"reason": "deterministic rule satisfied",
"response_id": "198ba3be687b44edbf911a89af9768fc",
"rule_type": "normalized_exact",
"score": 1.0,
"status": "passed"
}