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piq35_mixed_code_pattern × Qwen 2.5 14B AWQ ✗ FAIL

BENCHMARK QUESTION

Question ID

piq35_mixed_code_pattern

Prompt

Using A=1, B=2, ..., Z=26, which letter string is encoded by 3, 1, 20, 20, 1?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

CATTA

Evaluation rule type

normalized_exact

Raw evaluation rule

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

CANDIDATE / MODEL OBSERVATION

Model display name

Qwen 2.5 14B AWQ

Model ID

qwen2.5-14b-awq

Raw model response

CABBA

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-awq",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/qwen2.5-14b-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": "cabba",
  "expected_normalized": "catta"
}

EXECUTION EVIDENCE

effective_candidate_prompt

Using A=1, B=2, ..., Z=26, which letter string is encoded by 3, 1, 20, 20, 1?

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

Return only the final answer. Do not include explanation.

benchmark_prompt

Using A=1, B=2, ..., Z=26, which letter string is encoded by 3, 1, 20, 20, 1?

latency_ms

97.70771699550096

usage

{
  "input_tokens": 91,
  "output_tokens": 4
}

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 97.24276199995074,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/qwen2.5-14b-awq",
  "model_load_ms": 2744.904780993238,
  "peak_cuda_memory_allocated_bytes": 10057852416,
  "provider": "transformers_local",
  "quantization_method": "awq",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

timestamp

2026-08-25T18:06:45.079955+00:00

response_id

391f99c4ef5b49dd9fb099a8be240e0e

run_id

3ec534194b614717a2e863d43743172e

Execution error

—

Run artifact directory

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

Raw stored response

{
  "benchmark_prompt": "Using A=1, B=2, ..., Z=26, which letter string is encoded by 3, 1, 20, 20, 1?",
  "effective_candidate_prompt": "Using A=1, B=2, ..., Z=26, which letter string is encoded by 3, 1, 20, 20, 1?\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": 97.70771699550096,
  "model_id": "qwen2.5-14b-awq",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 97.24276199995074,
    "gpu_compute_capability": [
      12,
      0
    ],
    "gpu_name": "NVIDIA GeForce RTX 5090",
    "model": "[local-model-path-redacted]/qwen2.5-14b-awq",
    "model_load_ms": 2744.904780993238,
    "peak_cuda_memory_allocated_bytes": 10057852416,
    "provider": "transformers_local",
    "quantization_method": "awq",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq35_mixed_code_pattern",
  "response_id": "391f99c4ef5b49dd9fb099a8be240e0e",
  "run_id": "3ec534194b614717a2e863d43743172e",
  "structured_output": null,
  "text": "CABBA",
  "timestamp": "2026-08-25T18:06:45.079955+00:00",
  "usage": {
    "input_tokens": 91,
    "output_tokens": 4
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "cabba",
    "expected_normalized": "catta"
  },
  "gate_status": "fail",
  "reason": "deterministic rule conclusively not satisfied",
  "response_id": "391f99c4ef5b49dd9fb099a8be240e0e",
  "rule_type": "normalized_exact",
  "score": 0.0,
  "status": "failed"
}