{
  "paper": {
    "title": "AWQ"
  },
  "dataset": {
    "name": "WikiText-2 activation calibration",
    "tokens": 4096
  },
  "baseline": {
    "name": "round-to-nearest W4",
    "output_mse": 0.005416868363598895
  },
  "method": {
    "name": "activation-aware equivalent scaling W4",
    "output_mse": 0.0051884966475348356
  },
  "relative": {
    "output_mse_percent": -4.2159362335386765
  },
  "stages": {
    "calibration_tokens": 4096,
    "bits": 4,
    "selected_alpha": 0.4,
    "backpropagation": false
  },
  "paper_results": {
    "tinychat_speedup_over_fp16_x": 3.0,
    "protected_salient_weight_percent": 1.0
  },
  "scope": "用 WikiText-2 激活统计搜索 AWQ 等价缩放并真实执行 W4 量化；未使用 TinyChat CUDA kernel，MSE 不代表端到端吞吐。",
  "schema_version": 2,
  "manifest_ref": "reproduction:awq",
  "evaluation_protocol": {
    "tier": "l2_public_dataset",
    "seeds": [
      42
    ],
    "formal_comparison": false,
    "claim_policy": "single/few-seed smoke result; do not claim a stable improvement"
  },
  "provenance": {
    "artifact_path": "docs/reproductions/2306.00978-awq/metrics/public-seed42.json",
    "historical_migration": "historical-metrics-v2-2026-08-09",
    "original_code_commit": "not recorded",
    "dataset_fingerprint": "not recorded in historical artifact"
  }
}