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piq23_logic_two_dimension × Qwen 2.5 14B ✗ FAIL

BENCHMARK QUESTION

Question ID

piq23_logic_two_dimension

Prompt

In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?

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

FAIL

Stored evaluation status

failed

Score

0.0

gate_status

fail

conclusive

true

evaluator_name

pegasus.normalized_exact

evaluator_version

rule_type

normalized_exact

Reason

deterministic rule conclusively not satisfied

Evaluator error

—

GRADER EVIDENCE

evaluation.evidence

{
  "actual_normalized": "10",
  "expected_normalized": "8"
}

EXECUTION EVIDENCE

effective_candidate_prompt

In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?

Return only the final answer. Do not include explanation or reasoning.

Return only the final answer. Do not include explanation.

benchmark_prompt

In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?

latency_ms

91.5686010121135

usage

{
  "input_tokens": 98,
  "output_tokens": 3
}

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 91.20477699616458,
  "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

2026-08-25T18:06:35.905796+00:00

response_id

ba4ef5ca098b492c96cd43e2a9b12cb3

run_id

88792604e7e84090a9746aa06ff4ea8b

Execution error

—

Run artifact directory

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

Raw stored response

{
  "benchmark_prompt": "In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?",
  "effective_candidate_prompt": "In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number 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": 91.5686010121135,
  "model_id": "qwen2.5-14b",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 91.20477699616458,
    "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": "piq23_logic_two_dimension",
  "response_id": "ba4ef5ca098b492c96cd43e2a9b12cb3",
  "run_id": "88792604e7e84090a9746aa06ff4ea8b",
  "structured_output": null,
  "text": "10",
  "timestamp": "2026-08-25T18:06:35.905796+00:00",
  "usage": {
    "input_tokens": 98,
    "output_tokens": 3
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "10",
    "expected_normalized": "8"
  },
  "gate_status": "fail",
  "reason": "deterministic rule conclusively not satisfied",
  "response_id": "ba4ef5ca098b492c96cd43e2a9b12cb3",
  "rule_type": "normalized_exact",
  "score": 0.0,
  "status": "failed"
}