{
  "schema_version": 1,
  "family": "whistle_asr",
  "display_name": "Whistle ASR",
  "description": "Whistle offline speech recognition with FP32 GGUF weights, a GGML encoder and a host decoder.",
  "category": "asr",
  "status": "experimental",
  "tasks": [
    "asr"
  ],
  "modes": [
    "offline"
  ],
  "languages": [
    "en",
    "de",
    "fr",
    "es",
    "it",
    "nl",
    "pl"
  ],
  "runtime": {
    "tags": [
      "gguf"
    ]
  },
  "capabilities": {},
  "options": {
    "request": [
      {
        "name": "language",
        "type": "string",
        "description": "Force one supported language; omit to detect the language.",
        "required": false
      }
    ],
    "session": [
      {
        "name": "exec_plan",
        "type": "string",
        "description": "JSON component execution plans. Component decoder accepts impl native/neon (default native), both on CPU independently of the encoder backend. The experimental neon implementation accelerates the vocabulary projection with the framework NEON library and requires ENGINE_ENABLE_NEON=ON and AArch64 NEON. No artifacts or params are used.",
        "required": false,
        "default": "{}"
      }
    ],
    "load": []
  },
  "package_defaults": {
    "download": {
      "kind": "huggingface_snapshot",
      "repo": "audio-cpp/audio.cpp-gguf",
      "revision": "main",
      "gated": false
    }
  },
  "packages": [
    {
      "id": "whistle_asr_f32",
      "display_name": "Whistle ASR GGUF F32",
      "default": true,
      "format": "gguf",
      "precision": "f32",
      "target_directory": "Whistle-GGUF",
      "files": [
        "Whistle-GGUF/whistle-f32.gguf"
      ],
      "strip_prefix": "Whistle-GGUF"
    }
  ],
  "dependencies": [],
  "ui": {
    "tags": [
      "ASR",
      "GGUF"
    ],
    "docs": [
      "docs/models/whistle_asr.md"
    ],
    "recommended_package": "whistle_asr_f32"
  },
  "sources": [
    {
      "format": "gguf",
      "roots": {
        "model": ".",
        "weights": "$gguf"
      },
      "files": {
        "config": "model:config.json",
        "tokenizer_blob": "model:tokenizer.blob",
        "mel_filterbank": "model:mel_filterbank_80.f32",
        "hadamard_perm1": "model:hadamard_perm1.f32",
        "hadamard_perm2": "model:hadamard_perm2.f32"
      },
      "tensors": {
        "weights": "weights:"
      }
    },
    {
      "format": "safetensors",
      "roots": {
        "model": "."
      },
      "files": {
        "config": "model:config.json",
        "tokenizer_blob": "model:tokenizer.blob",
        "mel_filterbank": "model:mel_filterbank_80.f32",
        "hadamard_perm1": "model:hadamard_perm1.f32",
        "hadamard_perm2": "model:hadamard_perm2.f32"
      },
      "tensors": {
        "weights": "model:whistle.safetensors"
      }
    }
  ]
}