{
  "format": "coreml",
  "library_name": "coreml",
  "pipeline": "dynamic-label-classification",
  "source": {
    "repo": "knowledgator/gliclass-edge-v3.0",
    "revision": "df03993a2ed98e5e4a0d2dd7efbbd105abe874cf",
    "license": "apache-2.0"
  },
  "variant": "FluidUse application-tuned v2",
  "parameters": 32705154,
  "max_options": 25,
  "sequence_format": "[CLS] (<<LABEL>><option>)* <<SEP>> <prompt><serialized state> [SEP]",
  "tokenizer": "tokenizer.json",
  "buckets": [
    {
      "length": 128,
      "fp16": "gliclass_edge_apps_fp16_L128_options25.mlpackage",
      "lut8": "gliclass_edge_apps_lut8_kmeans_per_tensor_L128_options25.mlpackage"
    },
    {
      "length": 256,
      "fp16": "gliclass_edge_apps_fp16_L256_options25.mlpackage"
    },
    {
      "length": 512,
      "fp16": "gliclass_edge_apps_fp16_L512_options25.mlpackage"
    }
  ],
  "precisions": {
    "fp16": "Float16 weights and compute",
    "lut8": "8-bit per-tensor k-means weight palettization; L128 only"
  },
  "inputs": {
    "input_ids": "int32 [1, L]",
    "attention_mask": "int32 [1, L]",
    "class_marker_map": "float32 [1, 25, L]"
  },
  "outputs": {
    "logits": "float32 [1, 25]",
    "probabilities": "float32 [1, 25]"
  },
  "minimum_deployment_target": "iOS 17 / macOS 14",
  "runtime": "https://github.com/FluidInference/FluidUse",
  "conversion": "https://github.com/FluidInference/mobius/pull/101"
}