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piq14_numeric_combined_sequence × Qwen 32B AWQ ✓ 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

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

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

176.90161400241777

usage

{
  "input_tokens": 97,
  "output_tokens": 3
}

provider_metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 176.33933600154705,
  "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": 19443724800,
  "provider": "transformers_local",
  "quantization_method": "awq",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

timestamp

2026-08-25T18:06:53.144952+00:00

response_id

44c571ca7d37481ea47767db5fc0dffa

run_id

07ab8e94b98140e399715bd54c87ef8d

Execution error

—

Run artifact directory

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

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": 176.90161400241777,
  "model_id": "qwen32b-awq",
  "provider_metadata": {
    "adapter": "transformers_local",
    "cuda_version": "12.8",
    "device": "cuda",
    "dtype": "auto",
    "generation_latency_ms": 176.33933600154705,
    "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": 19443724800,
    "provider": "transformers_local",
    "quantization_method": "awq",
    "torch_version": "2.9.0+cu128",
    "transformers_version": "4.51.3"
  },
  "question_id": "piq14_numeric_combined_sequence",
  "response_id": "44c571ca7d37481ea47767db5fc0dffa",
  "run_id": "07ab8e94b98140e399715bd54c87ef8d",
  "structured_output": null,
  "text": "22",
  "timestamp": "2026-08-25T18:06:53.144952+00:00",
  "usage": {
    "input_tokens": 97,
    "output_tokens": 3
  }
}

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": "44c571ca7d37481ea47767db5fc0dffa",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}