{
  "format": "coreml",
  "library_name": "coreml",
  "pipeline": "typed-decision",
  "source": {
    "repo": "convaiinnovations/laya",
    "subfolder": "multilingual",
    "revision": "1c5edc17a7acd8701df6fc341c0d179f1c62c982",
    "encoder": "jhu-clsp/mmBERT-base",
    "license": "apache-2.0"
  },
  "question_types": ["choice", "score", "noul"],
  "max_options": 32,
  "head_max_len": 256,
  "sequence_format": "[CLS] <type> question: <instructions> [SEP] ([MASK] <option>)* [SEP] <state> [SEP]",
  "buckets": [
    { "length": 128, "fp16": "laya_multilingual_fp16_L128_options32.mlmodelc", "e8": "laya_multilingual_e8_L128_options32.mlmodelc" },
    { "length": 256, "fp16": "laya_multilingual_fp16_L256_options32.mlmodelc", "e8": "laya_multilingual_e8_L256_options32.mlmodelc" },
    { "length": 512, "fp16": "laya_multilingual_fp16_L512_options32.mlmodelc", "e8": "laya_multilingual_e8_L512_options32.mlmodelc" },
    { "length": 1024, "fp16": "laya_multilingual_fp16_L1024_options32.mlmodelc", "e8": "laya_multilingual_e8_L1024_options32.mlmodelc" }
  ],
  "precisions": {
    "fp16": { "weight_format": "float16", "package_mb": 614 },
    "e8": { "weight_format": "int8 per-channel embedding table, float16 encoder and head", "package_mb": 448 }
  },
  "tokenizer": "tokenizer.json",
  "inputs": {
    "input_ids": "int32 [1, L]",
    "attention_mask": "int32 [1, L]",
    "marker_map": "float32 [1, 32, L]",
    "question_type": "float32 [1, 3]"
  },
  "outputs": {
    "logits": "float32 [1, 32]",
    "probabilities": "float32 [1, 32]",
    "action_probabilities": "float32 [1, 2]"
  },
  "minimum_deployment_target": "iOS17 / macOS14",
  "runtime": "https://github.com/FluidInference/FluidUse",
  "conversion": "https://github.com/FluidInference/mobius/tree/main/models/computer-use/laya/coreml"
}