{
  "config_schema": "fermion.phonon/1",
  "model_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.",
  "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); NVIDIA GPUs; x86-64 and ARM Linux, x86-64 Windows, and Apple-silicon CPUs",
    "framework": "mlx (Mac); cuda (NVIDIA GPUs); cpu (x86-64, ARM and Apple silicon)"
  },
  "artifact": {
    "profile": "parity",
    "backend": "parity-fold4-tiered4",
    "filename": "phonon-parity.bps.tar.zst",
    "download_bytes": 580892956,
    "sha256": "5dbd566d022a05bac045d1e84f0bf6188999494070e2a00dc5fd1bac6caffdb9",
    "unpacked_bytes": 822143951
  },
  "profiles": {
    "default": "parity",
    "listed": [
      "parity"
    ],
    "entries": [
      {
        "key": "parity",
        "name": "Parity",
        "backend": "parity-fold4-tiered4",
        "filename": "phonon-parity.bps.tar.zst",
        "download_bytes": 580892956,
        "sha256": "5dbd566d022a05bac045d1e84f0bf6188999494070e2a00dc5fd1bac6caffdb9",
        "unpacked_bytes": 822143951,
        "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."
  ]
}