{
  "model": "checkpoints/sludge-small",
  "preset": "small",
  "parameters": 12011719,
  "platform": "macOS-27.0-arm64-arm-64bit-Mach-O",
  "processor": "arm64",
  "torch_threads": 1,
  "mean_nodes_per_screen": 13.175,
  "formats": {
    "pytorch": {
      "ms_mean": 10.71451664007327,
      "ms_p50": 10.695083000427985,
      "ms_p95": 11.57509119984752,
      "size_mb": 48.046876,
      "available": true
    },
    "onnx": {
      "ms_mean": 33.21225328021683,
      "ms_p50": 33.24016600072355,
      "ms_p95": 33.34932440011471,
      "size_mb": 48.260867,
      "available": true,
      "max_abs_diff_vs_pytorch": 1.239776611328125e-05,
      "max_prob_diff_vs_pytorch": 6.6356733441352844e-09,
      "node_decision_agreement_vs_pytorch": 1.0,
      "screen_decision_agreement_vs_pytorch": 1.0,
      "max_screen_prob_diff_vs_pytorch": 2.2402343025085258e-07,
      "decision_agreement_vs_pytorch": 1.0,
      "path": "sludge-small.onnx",
      "screen_decision_agreement_over_corpus": 1.0,
      "screens_with_any_flip": 0,
      "corpus_screens": 40
    },
    "onnx_int8": {
      "ms_mean": 13.350311599970155,
      "ms_p50": 13.336750000235043,
      "ms_p95": 13.508375000674278,
      "size_mb": 12.41416,
      "available": true,
      "max_abs_diff_vs_pytorch": 10.417057991027832,
      "max_prob_diff_vs_pytorch": 0.9890071749687195,
      "node_decision_agreement_vs_pytorch": 0.9997106481481481,
      "screen_decision_agreement_vs_pytorch": 0.9629629629629629,
      "max_screen_prob_diff_vs_pytorch": 0.6227820437142244,
      "decision_agreement_vs_pytorch": 0.9629629629629629,
      "path": "sludge-small.int8.onnx",
      "note": "int8 weight quantisation shifts logits; the meaningful check is decision agreement at the detector's threshold, reported above.",
      "screen_decision_agreement_over_corpus": 0.9898148148148148,
      "screens_with_any_flip": 11,
      "corpus_screens": 40
    },
    "coreml": {
      "ms_mean": 2.3157748799712863,
      "ms_p50": 2.360292000048503,
      "ms_p95": 2.4256751998109394,
      "size_mb": 24.183565,
      "available": true,
      "path": "sludge-small.mlpackage",
      "max_abs_diff_vs_pytorch": 1.2060108184814453,
      "max_prob_diff_vs_pytorch": 0.0005344669334590435,
      "node_decision_agreement_vs_pytorch": 1.0,
      "screen_decision_agreement_vs_pytorch": 1.0,
      "max_screen_prob_diff_vs_pytorch": 0.01530037641045523,
      "decision_agreement_vs_pytorch": 1.0,
      "precision": "float16"
    },
    "gguf": {
      "size_mb": 24.030848,
      "available": true,
      "path": "sludge-small.f16.gguf",
      "dtype": "f16",
      "max_abs_diff_vs_pytorch": 0.00128173828125,
      "max_prob_diff_vs_pytorch": 2.1227169781923294e-06,
      "node_decision_agreement_vs_pytorch": 1.0,
      "screen_decision_agreement_vs_pytorch": 1.0,
      "max_screen_prob_diff_vs_pytorch": 2.3298150106043636e-05,
      "decision_agreement_vs_pytorch": 1.0,
      "runnable_by_llama_cpp": false,
      "note": "Valid GGUF v3 container and round-trips through sludge.gguf. llama.cpp cannot execute it because this is not one of its LLM graph architectures; the graph lives in sludge.model."
    }
  },
  "note": "Per-screen figures are the model forward pass only, on this machine. The end-to-end number in the CLI's `sludge bench` additionally includes featurisation and decoding.",
  "graph_shape": "static: the node axis is fixed at max_nodes and the caller pads and masks. A dynamic node axis bakes the traced node count into the attention reshapes and only runs for that one screen size.",
  "end_to_end": {
    "ms_mean": 4.9734986666483865,
    "ms_p50": 4.9054374999286665,
    "ms_p95": 5.962366649646356,
    "ms_p99": 6.116143729759642,
    "n": 120,
    "rss_delta_mb": 0.147456,
    "rss_mb": 1305.837568,
    "params": 12011719
  }
}