Automatic Speech Recognition
MLX
English
apple-silicon
speech-to-text
asr
stt
low-bit
ternary
quantization-aware-training
on-device
streaming
Instructions to use FermionResearch/Phonon-1-Micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FermionResearch/Phonon-1-Micro with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Phonon-1-Micro FermionResearch/Phonon-1-Micro
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "config_schema": "fermion.phonon/1", | |
| "model_id": "FermionResearch/Phonon-1-Micro", | |
| "name": "Phonon-1 Micro", | |
| "summary": "The smallest Phonon model, for the smallest install. It trades some accuracy for size.", | |
| "license": "apache-2.0", | |
| "library_name": "mlx", | |
| "pipeline_tag": "automatic-speech-recognition", | |
| "language": [ | |
| "en" | |
| ], | |
| "base_model": "Qwen/Qwen3-ASR-0.6B", | |
| "base_model_relation": "quantized", | |
| "audio": { | |
| "sample_rate": 16000, | |
| "channels": 1, | |
| "designed_utterance_seconds": [ | |
| 0.5, | |
| 30.0 | |
| ], | |
| "punctuation": "native" | |
| }, | |
| "runtime": { | |
| "platform": "macOS on Apple silicon (arm64)", | |
| "framework": "mlx" | |
| }, | |
| "artifact": { | |
| "profile": "micro", | |
| "backend": "micro", | |
| "filename": "phonon-micro.bps.tar.zst", | |
| "download_bytes": 285083584, | |
| "sha256": "8a03e55d78e65c10f6ce22aff7e32359ca6a7aaa27973435b9ebc3cdbff13f9c", | |
| "unpacked_bytes": 331234013 | |
| }, | |
| "profiles": { | |
| "default": "micro", | |
| "listed": [ | |
| "micro" | |
| ], | |
| "entries": [ | |
| { | |
| "key": "micro", | |
| "name": "Micro", | |
| "backend": "micro", | |
| "filename": "phonon-micro.bps.tar.zst", | |
| "download_bytes": 285083584, | |
| "sha256": "8a03e55d78e65c10f6ce22aff7e32359ca6a7aaa27973435b9ebc3cdbff13f9c", | |
| "unpacked_bytes": 331234013, | |
| "listed": true | |
| } | |
| ] | |
| }, | |
| "family": [ | |
| { | |
| "repo_id": "FermionResearch/Phonon-1-Big", | |
| "name": "Phonon-1 Big", | |
| "summary": "The largest Phonon build, and the quickest response of the three. Not the default: it costs 166 MB more than Phonon-1 for no measured accuracy gain." | |
| }, | |
| { | |
| "repo_id": "FermionResearch/Phonon-1", | |
| "name": "Phonon-1", | |
| "summary": "The default Phonon model. Statistically tied with Phonon-1 Big on accuracy at 71 % of the download." | |
| }, | |
| { | |
| "repo_id": "FermionResearch/Phonon-1-Micro", | |
| "name": "Phonon-1 Micro", | |
| "summary": "The smallest Phonon model, for the smallest install. It trades some accuracy for size." | |
| } | |
| ], | |
| "notes": [ | |
| "Accuracy and latency figures are published in README.md, not here, so that a card revision can never leave a stale number in machine-readable metadata.", | |
| "The byte size and SHA-256 above describe this release and do not change for it. Check the archive against them before unpacking." | |
| ] | |
| } | |