PEGASUS EVAL / RESULTS EXPLORER

Observed benchmark evidence · read-only

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piq49v2_triangular_counts × Qwen 2.5 14B AWQ   ✓ PASS

BENCHMARK QUESTION

Question ID
piq49v2_triangular_counts
Prompt
A dot pattern has 1 dot in figure 1, 3 in figure 2, 6 in figure 3, and 10 in figure 4. Each figure adds a new row containing one more dot than the prior row. How many dots are in figure 5?
Options
—
Tags
[
  "symbolic",
  "hard"
]
Difficulty
—
Metadata
—
Response contract
{
  "instruction": "Return only the final answer. Do not include explanation.",
  "mode": "short_answer"
}
Question provenance
—

GOLD / BENCHMARK TRUTH

Raw expected value
15
Evaluation rule type
normalized_exact
Raw evaluation rule
{
  "expected": 15,
  "type": "normalized_exact"
}

CANDIDATE / MODEL OBSERVATION

Model display name
Qwen 2.5 14B AWQ
Model ID
qwen2.5-14b-awq
Raw model response
15
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
PASS
Stored evaluation status
passed
Score
1.0
gate_status
pass
conclusive
true
evaluator_name
pegasus.normalized_exact
evaluator_version
1
rule_type
normalized_exact
Reason
deterministic rule satisfied
Evaluator error
—

GRADER EVIDENCE

evaluation.evidence
{
  "actual_normalized": "15",
  "expected_normalized": "15"
}

EXECUTION EVIDENCE

effective_candidate_prompt
A dot pattern has 1 dot in figure 1, 3 in figure 2, 6 in figure 3, and 10 in figure 4. Each figure adds a new row containing one more dot than the prior row. How many dots are in figure 5?

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

Return only the final answer. Do not include explanation.
benchmark_prompt
A dot pattern has 1 dot in figure 1, 3 in figure 2, 6 in figure 3, and 10 in figure 4. Each figure adds a new row containing one more dot than the prior row. How many dots are in figure 5?
latency_ms
86.90685300098266
usage
{
  "input_tokens": 112,
  "output_tokens": 3
}
provider_metadata
{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 86.49892600078601,
  "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": 10066109952,
  "provider": "transformers_local",
  "quantization_method": "awq",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}
timestamp
2026-08-25T18:06:46.443034+00:00
response_id
18b615ca05264249abe9dcf5802cb0b0
run_id
3ec534194b614717a2e863d43743172e
Execution error
—
Run artifact directory
runs/pattern-iq/qwen-2.5-14b-awq
Raw stored response
{
  "benchmark_prompt": "A dot pattern has 1 dot in figure 1, 3 in figure 2, 6 in figure 3, and 10 in figure 4. Each figure adds a new row containing one more dot than the prior row. How many dots are in figure 5?",
  "effective_candidate_prompt": "A dot pattern has 1 dot in figure 1, 3 in figure 2, 6 in figure 3, and 10 in figure 4. Each figure adds a new row containing one more dot than the prior row. How many dots are in figure 5?\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": 86.90685300098266,
  "model_id": "qwen2.5-14b-awq",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 86.49892600078601,
    "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": 10066109952,
    "provider": "transformers_local",
    "quantization_method": "awq",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq49v2_triangular_counts",
  "response_id": "18b615ca05264249abe9dcf5802cb0b0",
  "run_id": "3ec534194b614717a2e863d43743172e",
  "structured_output": null,
  "text": "15",
  "timestamp": "2026-08-25T18:06:46.443034+00:00",
  "usage": {
    "input_tokens": 112,
    "output_tokens": 3
  }
}
Raw stored evaluation
{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "15",
    "expected_normalized": "15"
  },
  "gate_status": "pass",
  "reason": "deterministic rule satisfied",
  "response_id": "18b615ca05264249abe9dcf5802cb0b0",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}