File and tensor details
Sizes describe the stored artifacts. Each row describes one package or tensor file; alternative checkpoints and repeated exports are kept separate. Tensor-element counts include every stored array, which can include buffers, fitted parameters or diagnostic bases. They are not asserted to be a complete speech model's parameter count. Core ML input/output dtypes describe the interface; internal compute and weight precision may differ. A parseable specification does not establish runtime compatibility.
Machine-readable details, including tensor names and shapes.
Core ML packages
| Package | Stored size | Input → output dtypes | Specification |
|---|---|---|---|
| models/conditioning-115frames.mlpackage | 64.15 MiB | FLOAT32 → FLOAT32 | parseable |
| models/conditioning-127frames.mlpackage | 64.15 MiB | FLOAT32 → FLOAT32 | parseable |
| models/conditioning-142frames.mlpackage | 64.15 MiB | FLOAT32 → FLOAT32 | parseable |
| models/conditioning-153frames.mlpackage | 64.15 MiB | FLOAT32 → FLOAT32 | parseable |
| models/conditioning-190frames.mlpackage | 64.15 MiB | FLOAT32 → FLOAT32 | parseable |
| models/duration-fp16.mlpackage | 54,382 B | FLOAT32 → FLOAT32 | parseable |
| models/duration-fp32.mlpackage | 105,017 B | FLOAT32 → FLOAT32 | parseable |
| models/generator-115frames.mlpackage | 37.78 MiB | FLOAT32 → FLOAT32 | parseable |
| models/generator-127frames.mlpackage | 37.78 MiB | FLOAT32 → FLOAT32 | parseable |
| models/generator-142frames.mlpackage | 37.78 MiB | FLOAT32 → FLOAT32 | parseable |
| models/generator-153frames.mlpackage | 37.78 MiB | FLOAT32 → FLOAT32 | parseable |
| models/generator-190frames.mlpackage | 37.78 MiB | FLOAT32 → FLOAT32 | parseable |