# Core ML is not shipped for this model

Core ML cannot export this model at all, so no `.pte` or `config.json` is
published here. Use the XNNPACK or MLX build instead.

## Why

The exporter exists in `export-scripts` for all four sub-models, but conversion
fails on the first one (`duration_predictor`), tested 2026-08-20:

```
Placeholder val must be a tensor or fake tensor, but got type
<class 'torch.SymInt'>, value s16 + 1
```

That is the Core ML dynamic-shape limitation hitting at **export** time rather
than at execute. Every sub-model here carries dynamic dims (`T` for text 8..256,
`L` for latent 4..1000), and a symbolic dim reaches the Core ML converter as a
placeholder it cannot represent.

`vocoder` takes only a float latent and was the best candidate of the four, but
it is never reached: the run aborts on the first failure.

Related: apple/coremltools#2825.