Add config.json
Browse files- config.json +41 -0
config.json
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{
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"format": "coreml",
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"library_name": "coreml",
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"pipeline": "typed-decision",
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"source": {
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"repo": "convaiinnovations/laya",
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"subfolder": "multilingual",
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"revision": "1c5edc17a7acd8701df6fc341c0d179f1c62c982",
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"encoder": "jhu-clsp/mmBERT-base",
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"license": "apache-2.0"
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},
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"question_types": ["choice", "score", "noul"],
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"max_options": 32,
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"head_max_len": 256,
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"sequence_format": "[CLS] <type> question: <instructions> [SEP] ([MASK] <option>)* [SEP] <state> [SEP]",
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"buckets": [
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{ "length": 128, "fp16": "laya_multilingual_fp16_L128_options32.mlmodelc", "e8": "laya_multilingual_e8_L128_options32.mlmodelc" },
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{ "length": 256, "fp16": "laya_multilingual_fp16_L256_options32.mlmodelc", "e8": "laya_multilingual_e8_L256_options32.mlmodelc" },
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{ "length": 512, "fp16": "laya_multilingual_fp16_L512_options32.mlmodelc", "e8": "laya_multilingual_e8_L512_options32.mlmodelc" },
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{ "length": 1024, "fp16": "laya_multilingual_fp16_L1024_options32.mlmodelc", "e8": "laya_multilingual_e8_L1024_options32.mlmodelc" }
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],
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"precisions": {
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"fp16": { "weight_format": "float16", "package_mb": 614 },
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"e8": { "weight_format": "int8 per-channel embedding table, float16 encoder and head", "package_mb": 448 }
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},
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"tokenizer": "tokenizer.json",
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"inputs": {
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"input_ids": "int32 [1, L]",
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"attention_mask": "int32 [1, L]",
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"marker_map": "float32 [1, 32, L]",
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"question_type": "float32 [1, 3]"
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},
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"outputs": {
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"logits": "float32 [1, 32]",
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"probabilities": "float32 [1, 32]",
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"action_probabilities": "float32 [1, 2]"
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},
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"minimum_deployment_target": "iOS17 / macOS14",
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"runtime": "https://github.com/FluidInference/FluidUse",
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"conversion": "https://github.com/FluidInference/mobius/tree/main/models/computer-use/laya/coreml"
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}
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