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.