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piq46v2_interleaved_growth × Gemma 2 9B IT ✓ PASS

BENCHMARK QUESTION

Question ID

piq46v2_interleaved_growth

Prompt

Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What is missing?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

Evaluation rule type

normalized_exact

Raw evaluation rule

{
  "expected": 80,
  "type": "normalized_exact"
}

CANDIDATE / MODEL OBSERVATION

Model display name

Gemma 2 9B IT

Model ID

gemma2-9b-it

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": "gemma2-9b-it",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/gemma2-9b-it",
  "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": "80",
  "expected_normalized": "80"
}

EXECUTION EVIDENCE

effective_candidate_prompt

Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What is missing?

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

Return only the final answer. Do not include explanation.

benchmark_prompt

Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What is missing?

latency_ms

92.60061099485029

usage

{
  "input_tokens": 83,
  "output_tokens": 4
}

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 92.2667429986177,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/gemma2-9b-it",
  "model_load_ms": 3646.1853710061405,
  "peak_cuda_memory_allocated_bytes": 18543226368,
  "provider": "transformers_local",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

timestamp

2026-08-25T18:16:47.585592+00:00

response_id

92660c940c0d4acaa75c4b7327404847

run_id

a76b48f155d1417ea42cb8c6269bb4ba

Execution error

—

Run artifact directory

runs/pattern-iq/gemma-2-9b-it

Raw stored response

{
  "benchmark_prompt": "Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What is missing?",
  "effective_candidate_prompt": "Two sequences are interleaved: 2, 10, 4, 20, 8, 40, 16, ?. The first doubles independently, and so does the second. What 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": 92.60061099485029,
  "model_id": "gemma2-9b-it",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 92.2667429986177,
    "gpu_compute_capability": [
      12,
      0
    ],
    "gpu_name": "NVIDIA GeForce RTX 5090",
    "model": "[local-model-path-redacted]/gemma2-9b-it",
    "model_load_ms": 3646.1853710061405,
    "peak_cuda_memory_allocated_bytes": 18543226368,
    "provider": "transformers_local",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq46v2_interleaved_growth",
  "response_id": "92660c940c0d4acaa75c4b7327404847",
  "run_id": "a76b48f155d1417ea42cb8c6269bb4ba",
  "structured_output": null,
  "text": "80",
  "timestamp": "2026-08-25T18:16:47.585592+00:00",
  "usage": {
    "input_tokens": 83,
    "output_tokens": 4
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "80",
    "expected_normalized": "80"
  },
  "gate_status": "pass",
  "reason": "deterministic rule satisfied",
  "response_id": "92660c940c0d4acaa75c4b7327404847",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}