---
license: apache-2.0
base_model: Qwen/Qwen3-ASR-0.6B
base_model_relation: quantized
language:
- en
library_name: mlx
pipeline_tag: automatic-speech-recognition
tags:
- mlx
- apple-silicon
- speech-to-text
- asr
- stt
- low-bit
- ternary
- quantization-aware-training
- on-device
- streaming
metrics:
- wer
---

# Phonon-1 Big

This is the largest build of the Phonon-1 family, an open speech recognition
model for English that downloads in 581 MB.

## Benchmarks

| Benchmark | Phonon-1 Big (581 MB) |
|---|---:|
| LibriSpeech test-clean | 2.667 |
| LibriSpeech test-other | 5.722 |
| TED-LIUM | 3.400 |
| SPGISpeech | 4.156 |
| VoxPopuli | 8.369 |
| GigaSpeech | 11.291 |
| Earnings-22 | 12.417 |
| AMI | 12.812 |
| Macro (eight benchmarks) | 7.604 |

Word error rate, lower is better. Measured by us — full test sets, Whisper
English text normalizer, greedy decoding.

## Run it

```bash
pip install fermion-research

fermion transcribe recording.wav --model FermionResearch/Phonon-1-Big
```

Or serve an OpenAI-compatible endpoint:

```bash
fermion serve --model FermionResearch/Phonon-1-Big

curl -s http://127.0.0.1:8000/v1/audio/transcriptions \
  -F "file=@recording.wav" \
  -F "model=FermionResearch/Phonon-1-Big"
```

The same weights run on a Mac (via MLX), on an NVIDIA GPU, or on a plain CPU;
the runtimes and Docker images are in the [GitHub repo](https://github.com/fermionresearch/phonon).

## License

**Apache License 2.0** for the weights and the [command line](https://pypi.org/project/fermion-research/). Base model: [`Qwen/Qwen3-ASR-0.6B`](https://huggingface.co/Qwen/Qwen3-ASR-0.6B), Apache-2.0.