---
license: openrail
language:
- en
- es
- fr
- pl
- el
- id
- zh
- ja
- ru
- tr
- da
- et
- hr
- pt
- vi
- sl
- cs
- it
- uk
- ko
- sv
- lv
- hu
- fi
- ar
- nl
- sk
- bg
- hi
- de
- lt
base_model:
- Supertone/supertonic-3
pipeline_tag: text-to-speech
library_name: executorch
---

# supertonic

This repository hosts the **supertonic** models exported for the
[React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch)
library as ExecuTorch `.pte` programs, ready to run on device.

## Variants

| Path | Component | Backend | Precision |
| --- | --- | --- | --- |
| `mlx/duration_predictor_mlx_fp32.pte` | duration_predictor | mlx | fp32 |
| `mlx/text_encoder_mlx_fp32.pte` | text_encoder | mlx | fp32 |
| `mlx/vector_estimator_mlx_fp32.pte` | vector_estimator | mlx | fp32 |
| `mlx/vocoder_mlx_fp32.pte` | vocoder | mlx | fp32 |
| `vulkan/duration_predictor_vulkan_fp16.pte` | duration_predictor | vulkan | fp16 |
| `vulkan/text_encoder_vulkan_fp16.pte` | text_encoder | vulkan | fp16 |
| `vulkan/vector_estimator_vulkan_fp16.pte` | vector_estimator | vulkan | fp16 |
| `vulkan/vocoder_vulkan_fp16.pte` | vocoder | vulkan | fp16 |
| `xnnpack/duration_predictor_xnnpack_fp32.pte` | duration_predictor | xnnpack | fp32 |
| `xnnpack/text_encoder_xnnpack_fp32.pte` | text_encoder | xnnpack | fp32 |
| `xnnpack/vector_estimator_xnnpack_fp32.pte` | vector_estimator | xnnpack | fp32 |
| `xnnpack/vocoder_xnnpack_fp32.pte` | vocoder | xnnpack | fp32 |

## Unshipped backends

A backend directory carrying a `NOTES.md` and no `.pte` was exported and
not published. Its note records what went wrong.

- `coreml` ([why](https://huggingface.co/software-mansion/react-native-executorch-supertonic/blob/main/coreml/NOTES.md))

## Repository structure

```
config.json                                  32 B
coreml/NOTES.md                              879 B
mlx/config.json                              6.7 kB
mlx/duration_predictor_mlx_fp32.pte          3.4 MB
mlx/text_encoder_mlx_fp32.pte                34.4 MB
mlx/vector_estimator_mlx_fp32.pte            244 MB
mlx/vocoder_mlx_fp32.pte                     96.7 MB
unicode_indexer.json                         271 kB
voice_styles/F1.json                         285 kB
voice_styles/F2.json                         286 kB
voice_styles/F3.json                         284 kB
voice_styles/F4.json                         285 kB
voice_styles/F5.json                         285 kB
voice_styles/M1.json                         285 kB
voice_styles/M2.json                         285 kB
voice_styles/M3.json                         283 kB
voice_styles/M4.json                         285 kB
voice_styles/M5.json                         285 kB
voices/F1.bin                                50.5 kB
voices/F2.bin                                50.5 kB
voices/F3.bin                                50.5 kB
voices/F4.bin                                50.5 kB
voices/F5.bin                                50.5 kB
voices/M1.bin                                50.5 kB
voices/M2.bin                                50.5 kB
voices/M3.bin                                50.5 kB
voices/M4.bin                                50.5 kB
voices/M5.bin                                50.5 kB
vulkan/config.json                           4.1 kB
vulkan/duration_predictor_vulkan_fp16.pte    1.7 MB
vulkan/text_encoder_vulkan_fp16.pte          17.3 MB
vulkan/vector_estimator_vulkan_fp16.pte      122 MB
vulkan/vocoder_vulkan_fp16.pte               48.4 MB
xnnpack/config.json                          6.7 kB
xnnpack/duration_predictor_xnnpack_fp32.pte  3.4 MB
xnnpack/text_encoder_xnnpack_fp32.pte        34.5 MB
xnnpack/vector_estimator_xnnpack_fp32.pte    245 MB
xnnpack/vocoder_xnnpack_fp32.pte             96.7 MB
```

## Compatibility

These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch
gives no forward compatibility guarantee, so an older runtime may fail to load
them.

To use them in React Native ExecuTorch, pass the model constant shipped in the
library's model registry to the corresponding task pipeline. See the
[documentation](https://docs.swmansion.com/react-native-executorch/docs/fundamentals/downloading-models).

To load these files in your own ExecuTorch runtime, read the
[compatibility note](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md)
first.