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
pip install fermion-research
fermion transcribe recording.wav --model FermionResearch/Phonon-1-Big
Or serve an OpenAI-compatible endpoint:
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) or an NVIDIA GPU; the CUDA runtime and Docker image are in the GitHub repo.
License
Apache License 2.0 for the weights and the command line. Base model: Qwen/Qwen3-ASR-0.6B, Apache-2.0.
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Base model
Qwen/Qwen3-ASR-0.6B