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piq46v2_interleaved_growth × Qwen 2.5 14B ✓ PASS

BENCHMARK QUESTION

Question ID

piq46v2_interleaved_growth

Prompt

Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What is missing?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

Evaluation rule type

normalized_exact

Raw evaluation rule

{
  "expected": 80,
  "type": "normalized_exact"
}

CANDIDATE / MODEL OBSERVATION

Model display name

Qwen 2.5 14B

Model ID

qwen2.5-14b

Raw model response

Execution status

success

Structured 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

PASS

Stored evaluation status

passed

Score

1.0

gate_status

pass

conclusive

true

evaluator_name

pegasus.normalized_exact

evaluator_version

rule_type

normalized_exact

Reason

deterministic rule satisfied

Evaluator 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

91.50896899518557

usage

{
  "input_tokens": 100,
  "output_tokens": 3
}

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 91.06496300955769,
  "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": 29581745664,
  "provider": "transformers_local",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

timestamp

2026-08-25T18:06:38.279662+00:00

response_id

8c1654ac015e46a7a5998a3b9feedda2

run_id

88792604e7e84090a9746aa06ff4ea8b

Execution error

—

Run artifact directory

runs/pattern-iq/qwen-2.5-14b

Raw 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": 91.50896899518557,
  "model_id": "qwen2.5-14b",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 91.06496300955769,
    "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": 29581745664,
    "provider": "transformers_local",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq46v2_interleaved_growth",
  "response_id": "8c1654ac015e46a7a5998a3b9feedda2",
  "run_id": "88792604e7e84090a9746aa06ff4ea8b",
  "structured_output": null,
  "text": "80",
  "timestamp": "2026-08-25T18:06:38.279662+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": "8c1654ac015e46a7a5998a3b9feedda2",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}