Model reference · open weights
whisper-tiny-ExecuTorch is an open-weight audio or speech model from software-mansion. Built for phones (ExecuTorch). It does not run on a GPU server.
Summary of the software-mansion/whisper-tiny-ExecuTorch model card, 2026-10-29
What it is
| Released by | software-mansion |
|---|---|
| Released | 2025-03-20 |
From the model card
This repository hosts the whisper-tiny models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: whisper-tiny
| Path | Backend | Precision |
|---|---|---|
coreml/whisper_tiny_coreml_fp16.pte | coreml | fp16 |
mlx/whisper_tiny_mlx_bf16.pte | mlx | bf16 |
mlx/whisper_tiny_mlx_int8.pte | mlx | int8 |
vulkan/whisper_tiny_vulkan_fp16.pte | vulkan | fp16 |
vulkan/whisper_tiny_vulkan_int8.pte | vulkan | int8 |
xnnpack/whisper_tiny_xnnpack_fp32.pte | xnnpack | fp32 |
xnnpack/whisper_tiny_xnnpack_int8.pte | xnnpack | int8 |
xnnpack/whisper_tiny_xnnpack_int8.pte is 8da8w (int8 dynamic activations, int8
per-channel weights). Greedy WER (CER for zh) against the fp32 file, LibriSpeech
test-clean (150 clips) and FLEURS (80 per language):
| en | de | es | pl | fr | zh | |
|---|---|---|---|---|---|---|
| fp32 | 6.99 | 35.82 | 22.93 | 63.73 | 54.10 | 29.57 |
| int8 | 7.05 | 35.60 | 21.61 | 63.32 | 54.20 | 28.64 |
config.json 34 B
coreml/config.json 1.5 kB
coreml/whisper_tiny_coreml_fp16.pte 72.9 MB
mlx/config.json 2.6 kB
mlx/whisper_tiny_mlx_bf16.pte 72.6 MB
mlx/whisper_tiny_mlx_int8.pte 57.1 MB
tokenizer.json 2.4 MB
vulkan/config.json 2.6 kB
vulkan/whisper_tiny_vulkan_fp16.pte 204 MB
vulkan/whisper_tiny_vulkan_int8.pte 124 MB
xnnpack/config.json 2.6 kB
xnnpack/whisper_tiny_xnnpack_fp32.pte 222 MB
xnnpack/whisper_tiny_xnnpack_int8.pte 175 MB
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.
To load these files in your own ExecuTorch runtime, read the compatibility note first.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works
Running it
Built for phones (ExecuTorch). It does not run on a GPU server.