Model reference · open weights

react-native-executorch-whisper

Not for GPU servers Audio software-mansion Speech→text 1 build Open weights 3k dl/mo

react-native-executorch-whisper is an open-weight audio or speech model from software-mansion. Built for phones (ExecuTorch). It does not run on a GPU server.

  • react-native-executorch-whisper-base is a collection of Whisper base models exported as ExecuTorch programs for on-device automatic speech recognition in React Native applications.
  • Developed by software-mansion, the repository provides variants for CoreML, MLX, Vulkan, and XNNPACK backends with precision options ranging from int8 to fp32.
  • The models are compatible with the ExecuTorch v1.4.1 runtime and are distributed under the Apache 2.0 license.

Summary of the software-mansion/react-native-executorch-whisper-base model card, 2026-10-01

What it is

Released bysoftware-mansion
Released2025-08-20

From the model card

What software-mansion says about react-native-executorch-whisper

Read the model card

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

Upstream model: whisper-base

Variants

PathBackendPrecision
coreml/whisper_base_coreml_fp16.ptecoremlfp16
mlx/whisper_base_mlx_bf16.ptemlxbf16
mlx/whisper_base_mlx_int8.ptemlxint8
vulkan/whisper_base_vulkan_fp16.ptevulkanfp16
vulkan/whisper_base_vulkan_int8.ptevulkanint8
xnnpack/whisper_base_xnnpack_fp32.ptexnnpackfp32

Repository structure

config.json                            34 B
coreml/config.json                     1.5 kB
coreml/whisper_base_coreml_fp16.pte    140 MB
mlx/config.json                        2.6 kB
mlx/whisper_base_mlx_bf16.pte          139 MB
mlx/whisper_base_mlx_int8.pte          97.8 MB
tokenizer.json                         2.4 MB
vulkan/config.json                     2.6 kB
vulkan/whisper_base_vulkan_fp16.pte    335 MB
vulkan/whisper_base_vulkan_int8.pte    196 MB
xnnpack/config.json                    1.4 kB
xnnpack/whisper_base_xnnpack_fp32.pte  380 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.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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.

Running it

Where it runs

Built for phones (ExecuTorch). It does not run on a GPU server.

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