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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
| Path | Backend | Precision |
|---|---|---|
coreml/whisper_base_coreml_fp16.pte |
coreml | fp16 |
mlx/whisper_base_mlx_bf16.pte |
mlx | bf16 |
mlx/whisper_base_mlx_int8.pte |
mlx | int8 |
vulkan/whisper_base_vulkan_fp16.pte |
vulkan | fp16 |
vulkan/whisper_base_vulkan_int8.pte |
vulkan | int8 |
xnnpack/whisper_base_xnnpack_fp32.pte |
xnnpack | fp32 |
xnnpack/whisper_base_xnnpack_int8.pte |
xnnpack | int8 |
xnnpack/whisper_base_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 | 4.12 | 24.88 | 13.66 | 47.35 | 40.76 | 21.27 |
| int8 | 3.94 | 25.04 | 13.87 | 46.39 | 41.09 | 21.27 |
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 2.6 kB
xnnpack/whisper_base_xnnpack_fp32.pte 380 MB
xnnpack/whisper_base_xnnpack_int8.pte 254 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.