File size: 1,415 Bytes
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"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"
}
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