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piq14_numeric_combined_sequence × Gemma 2 9B IT ✓ PASS

BENCHMARK QUESTION

Question ID

piq14_numeric_combined_sequence

Prompt

In the sequence 1, 2, 4, 7, 11, 16, ?, each term after the first adds an increment that increases by 1. What is the next number?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

Evaluation rule type

normalized_exact

Raw evaluation rule

{
  "expected": 22,
  "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": "22",
  "expected_normalized": "22"
}

EXECUTION EVIDENCE

effective_candidate_prompt

In the sequence 1, 2, 4, 7, 11, 16, ?, each term after the first adds an increment that increases by 1. What is the next number?

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

Return only the final answer. Do not include explanation.

benchmark_prompt

In the sequence 1, 2, 4, 7, 11, 16, ?, each term after the first adds an increment that increases by 1. What is the next number?

latency_ms

98.22580000036396

usage

{
  "input_tokens": 80,
  "output_tokens": 4
}

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 97.75123599683866,
  "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": 18565909504,
  "provider": "transformers_local",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

timestamp

2026-08-25T18:16:43.885322+00:00

response_id

71750e13ff014a458d45cb8939fafcf2

run_id

a76b48f155d1417ea42cb8c6269bb4ba

Execution error

—

Run artifact directory

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

Raw stored response

{
  "benchmark_prompt": "In the sequence 1, 2, 4, 7, 11, 16, ?, each term after the first adds an increment that increases by 1. What is the next number?",
  "effective_candidate_prompt": "In the sequence 1, 2, 4, 7, 11, 16, ?, each term after the first adds an increment that increases by 1. What is the next number?\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": 98.22580000036396,
  "model_id": "gemma2-9b-it",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 97.75123599683866,
    "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": 18565909504,
    "provider": "transformers_local",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq14_numeric_combined_sequence",
  "response_id": "71750e13ff014a458d45cb8939fafcf2",
  "run_id": "a76b48f155d1417ea42cb8c6269bb4ba",
  "structured_output": null,
  "text": "22",
  "timestamp": "2026-08-25T18:16:43.885322+00:00",
  "usage": {
    "input_tokens": 80,
    "output_tokens": 4
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "22",
    "expected_normalized": "22"
  },
  "gate_status": "pass",
  "reason": "deterministic rule satisfied",
  "response_id": "71750e13ff014a458d45cb8939fafcf2",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}