| { |
| "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" |
| } |
|
|
