| { |
| "bert": { |
| "repository": "ku-nlp/deberta-v2-large-japanese-char-wwm", |
| "revision": "547b0e8b044fba3f9b84d0ab9f990440bd130c8b", |
| "inputs": { |
| "model.safetensors": "2630f547d018524a7b03506a42c700cbac49e29bdc441845b0615bfb3b5d74d2", |
| "config.json": "8f387ab4c6b36e47c7071327c7a42099002781279b00a7e6a7fe88f3da237a3f", |
| "vocab.txt": "902cbd7e218aaf23a72955533293ceac12fcc4e010ad98c0c14757b94ce7abb6" |
| } |
| }, |
| "dictionary": { |
| "url": "https://github.com/r9y9/open_jtalk/releases/download/v1.11.1/open_jtalk_dic_utf_8-1.11.tar.gz", |
| "sha256": "fe6ba0e43542cef98339abdffd903e062008ea170b04e7e2a35da805902f382a" |
| }, |
| "weight_compression": { |
| "component": "bert", |
| "mode": "int8", |
| "source_checksums_sha256": "9e36490081d5b2da36730dced786b19ec14e5d9f091f35efffaab65c7ad16a89", |
| "compute_precision": "float32", |
| "voice_weights_changed": false, |
| "coremltools_version": "9.0", |
| "granularity": "per_block", |
| "block_size": 32, |
| "source_model": { |
| "repository": "AILogDev/sbv2-coreml-common", |
| "revision": "d9cc585298e2d59fb1df384fb62a1e15d73f8add", |
| "tag": "fp32-v1" |
| } |
| }, |
| "source_conversion": "FP32 prefix.0 and group.1-23-conv, EnumeratedShapes 64/128/256; no quantization", |
| "conversion": "BERT weight storage compression; FP32 computation retained" |
| } |
|
|
