Model reference · open weights

react-native-executorch-whisper.en

Available as managed deployment Audio software-mansion Speech→text 1 variants 2k dl/mo

react-native-executorch-whisper.en is an open-weight audio or speech model from software-mansion. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released bysoftware-mansion
TypeAudio & music
TaskSpeech→text
Runs withexecutorch
Released2025-08-20
Popularity2k downloads / month
LicenceOpen weights

About

What react-native-executorch-whisper.en is

This repository hosts the whisper-base.en models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Upstream model: whisper-base.en

Read the full model card

Variants

PathBackendPrecision
coreml/whisper_base_en_coreml_fp16.ptecoremlfp16
mlx/whisper_base_en_mlx_bf16.ptemlxbf16
mlx/whisper_base_en_mlx_int8.ptemlxint8
vulkan/whisper_base_en_vulkan_fp16.ptevulkanfp16
vulkan/whisper_base_en_vulkan_int8.ptevulkanint8
xnnpack/whisper_base_en_xnnpack_int8.ptexnnpackint8
xnnpack/whisper_base_en_xnnpack_fp32.ptexnnpackfp32

Repository structure

config.json                               37 B
coreml/config.json                        1.5 kB
coreml/whisper_base_en_coreml_fp16.pte    140 MB
mlx/config.json                           2.6 kB
mlx/whisper_base_en_mlx_bf16.pte          139 MB
mlx/whisper_base_en_mlx_int8.pte          97.8 MB
tokenizer.json                            2.3 MB
vulkan/config.json                        2.6 kB
vulkan/whisper_base_en_vulkan_fp16.pte    335 MB
vulkan/whisper_base_en_vulkan_int8.pte    196 MB
xnnpack/config.json                       2.6 kB
xnnpack/whisper_base_en_xnnpack_fp32.pte  380 MB
xnnpack/whisper_base_en_xnnpack_int8.pte  236 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.

To load these files in your own ExecuTorch runtime, read the compatibility note first.

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys react-native-executorch-whisper-en for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (react-native-executorch-whisper-en below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -F model="react-native-executorch-whisper-en" -F file=@audio.mp3

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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