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