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piq19_mixed_odd_even × Qwen 2.5 14B ✓ PASS

BENCHMARK QUESTION

Question ID

piq19_mixed_odd_even

Prompt

Given: 2, 9, 4, 11, 6, 13, ? The even numbers increase by 2, the odd numbers increase by 2. What is the next term?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

Evaluation rule type

normalized_exact

Raw evaluation rule

{
  "expected": 8,
  "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": "8",
  "expected_normalized": "8"
}

EXECUTION EVIDENCE

effective_candidate_prompt

Given: 2, 9, 4, 11, 6, 13, ? The even numbers increase by 2, the odd numbers increase by 2. 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

Given: 2, 9, 4, 11, 6, 13, ? The even numbers increase by 2, the odd numbers increase by 2. What is the next term?

latency_ms

68.96985998901073

usage

{
  "input_tokens": 98,
  "output_tokens": 2
}

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 68.60756898822729,
  "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": 29581103616,
  "provider": "transformers_local",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

timestamp

2026-08-25T18:06:35.542390+00:00

response_id

c7c562479f9c4b6a9d5b3579285ea781

run_id

88792604e7e84090a9746aa06ff4ea8b

Execution error

—

Run artifact directory

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

Raw stored response

{
  "benchmark_prompt": "Given: 2, 9, 4, 11, 6, 13, ? The even numbers increase by 2, the odd numbers increase by 2. What is the next term?",
  "effective_candidate_prompt": "Given: 2, 9, 4, 11, 6, 13, ? The even numbers increase by 2, the odd numbers increase by 2. 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": 68.96985998901073,
  "model_id": "qwen2.5-14b",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 68.60756898822729,
    "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": 29581103616,
    "provider": "transformers_local",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq19_mixed_odd_even",
  "response_id": "c7c562479f9c4b6a9d5b3579285ea781",
  "run_id": "88792604e7e84090a9746aa06ff4ea8b",
  "structured_output": null,
  "text": "8",
  "timestamp": "2026-08-25T18:06:35.542390+00:00",
  "usage": {
    "input_tokens": 98,
    "output_tokens": 2
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "8",
    "expected_normalized": "8"
  },
  "gate_status": "pass",
  "reason": "deterministic rule satisfied",
  "response_id": "c7c562479f9c4b6a9d5b3579285ea781",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}