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piq19_mixed_odd_even × Qwen 32B AWQ ✗ FAIL

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 32B AWQ

Model ID

qwen32b-awq

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": "qwen32b-awq",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/qwen32b-awq",
  "quantization_method": "awq",
  "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": "15",
  "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

182.44351699831896

usage

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

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 181.90947201219387,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/qwen32b-awq",
  "model_load_ms": 3622.3182269895915,
  "peak_cuda_memory_allocated_bytes": 19444193792,
  "provider": "transformers_local",
  "quantization_method": "awq",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

timestamp

2026-08-25T18:06:53.880797+00:00

response_id

b4a6d639ca034be2afdcab4204cc3c37

run_id

07ab8e94b98140e399715bd54c87ef8d

Execution error

—

Run artifact directory

runs/pattern-iq/qwen-32b-awq

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": 182.44351699831896,
  "model_id": "qwen32b-awq",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 181.90947201219387,
    "gpu_compute_capability": [
      12,
      0
    ],
    "gpu_name": "NVIDIA GeForce RTX 5090",
    "model": "[local-model-path-redacted]/qwen32b-awq",
    "model_load_ms": 3622.3182269895915,
    "peak_cuda_memory_allocated_bytes": 19444193792,
    "provider": "transformers_local",
    "quantization_method": "awq",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq19_mixed_odd_even",
  "response_id": "b4a6d639ca034be2afdcab4204cc3c37",
  "run_id": "07ab8e94b98140e399715bd54c87ef8d",
  "structured_output": null,
  "text": "15",
  "timestamp": "2026-08-25T18:06:53.880797+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": "15",
    "expected_normalized": "8"
  },
  "gate_status": "fail",
  "reason": "deterministic rule conclusively not satisfied",
  "response_id": "b4a6d639ca034be2afdcab4204cc3c37",
  "rule_type": "normalized_exact",
  "score": 0.0,
  "status": "failed"
}