---
license: apache-2.0
pipeline_tag: automatic-speech-recognition
base_model: Qwen/Qwen3-ASR-0.6B
tags:
- executorch
library_name: executorch
---

# qwen-3-asr

This repository hosts **Qwen3-ASR** 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 | Backend | Precision | Audio per pass |
| --- | --- | --- | --- |
| `0_6b/xnnpack/qwen3_asr_0_6b_xnnpack_8da4w.pte` | xnnpack | 8da4w | 30 s |
| `0_6b/mlx/qwen3_asr_0_6b_coreml_mlx_4w.pte` | Core ML (audio tower) + MLX | fp16 tower, 4w decoder | 30 s |

Decoder linears are 8da4w (group 32) except decoder layers 0–1, which stay at
8da8w; the audio tower is 8da8w with an int8 conv stem. WER on the first 100
LibriSpeech test-clean clips: 2.46% (fp32: 2.14%).

The Core ML + MLX file runs the audio tower on Core ML in fp16 and the decoder
on MLX with 4-bit weights (group 32, layers 0–1 at 8 bits): WER 2.51%. It needs
both backends in the runtime.

## Repository structure

```
0_6b/tokenizer.json                              10.9 MiB
0_6b/xnnpack/config.json
0_6b/mlx/config.json
0_6b/mlx/qwen3_asr_0_6b_coreml_mlx_4w.pte      771 MiB
0_6b/xnnpack/qwen3_asr_0_6b_xnnpack_8da4w.pte   675 MiB
```

## 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.