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{
  "format_version": 1,
  "source_model": "cross-encoder/ms-marco-MiniLM-L6-v2",
  "conversion": "Core ML MLProgram FP16 with grouped-channel LUT palettization",
  "lut_bits": 6,
  "minimum_macos": "15.0",
  "preferred_compute_units": "cpuAndNeuralEngine",
  "input_contract": {
    "inputs": [
      "input_ids",
      "attention_mask",
      "token_type_ids"
    ],
    "output": "score",
    "dtype": "int32"
  },
  "buckets": [
    {
      "sequence_length": 128,
      "artifact": "minilm_reranker_128.mlmodelc",
      "sha256_tree": "72c11536901e1695ff034d704a58d9bcf9b642e7cd7472daea62b820f3f77ee7",
      "parity": {
        "max_absolute_logit_error": 0.19604873657226562,
        "rank_correlation": 1.0,
        "identical_probe_order": true
      }
    },
    {
      "sequence_length": 256,
      "artifact": "minilm_reranker_256.mlmodelc",
      "sha256_tree": "17884cc26f17825a80b98e6eb08af08fa85abadb0ae43ba2c19b90a5959358a1",
      "parity": {
        "max_absolute_logit_error": 0.20776748657226562,
        "rank_correlation": 1.0,
        "identical_probe_order": true
      }
    }
  ]
}