{
  "schema": "huihui38-awq-native-semantic-smoke-v1",
  "status": "PASS",
  "created_utc": "2026-08-25T20:50:08.393674+00:00",
  "model": "leoncca/Qwen3.8-27B-Huihui-AWQ@v2-739e3c5b",
  "backend": "GPTQModel BACKEND.TORCH",
  "dtype": "float16",
  "exact": {
    "prompt": "只回答 NATIVE_AWQ_OK，不要补充任何其他文字。",
    "token_ids": [
      45,
      22491,
      1511,
      54,
      48,
      8116,
      248046
    ],
    "text": "NATIVE_AWQ_OK"
  },
  "natural": {
    "prompt": "请用一句自然、完整的中文回答：为什么量化模型上线前仍然需要做语义验证？",
    "token_ids": [
      96789,
      105258,
      103725,
      122075,
      101859,
      96671,
      110018,
      103711,
      136755,
      3709,
      96051,
      127752,
      103838,
      95847,
      99128,
      103725,
      111680,
      97640,
      101842,
      98427,
      110605,
      97192,
      106135,
      119580,
      109515,
      3709,
      99131,
      97909,
      103725,
      95772,
      109732,
      109929,
      96120,
      96622,
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      95849,
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      124346,
      95726,
      2005,
      98809,
      96563,
      828,
      101725,
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    ],
    "text": "因为量化模型本质上是对历史数据的数学拟合，而语义验证能确保模型捕捉到的逻辑符合真实的业务因果和市场常识，从而避免模型在看似完美的回测结果下做出违背经济直觉的“伪相关”决策。"
  },
  "failures": []
}