ranker / manifest.json
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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
}
}
]
}