{
  "family": "hviske_asr",
  "schema_version": 1,
  "display_name": "Hviske ASR",
  "description": "Danish-optimized Conformer encoder-decoder ASR model fine-tuned from the Hviske v5 family, with selectable Cohere ASR language prompts.",
  "category": "asr",
  "status": "supported",
  "tasks": [
    "asr"
  ],
  "modes": [
    "offline"
  ],
  "languages": [
    "ar",
    "da",
    "de",
    "el",
    "en",
    "es",
    "fr",
    "it",
    "ja",
    "ko",
    "nl",
    "pl",
    "pt",
    "vi",
    "zh"
  ],
  "capabilities": {},
  "dependencies": [],
  "options": {
    "request": [
      {
        "name": "language",
        "type": "string",
        "description": "ASR language code; default da.",
        "required": false,
        "default": "da"
      },
      {
        "name": "punc",
        "type": "bool",
        "description": "Request punctuation and capitalization together through decoder prompt tokens; default true.",
        "required": false,
        "default": true
      },
      {
        "name": "max_tokens",
        "type": "int",
        "description": "Maximum generated transcript tokens; defaults to the model config.",
        "required": false,
        "min": 1
      },
      {
        "name": "num_beams",
        "type": "int",
        "description": "Beam-search beam count; default 1 uses greedy or sampling decode.",
        "required": false,
        "min": 1,
        "default": 1
      },
      {
        "name": "length_penalty",
        "type": "float",
        "description": "Beam-search length penalty; must be positive when set; default 1.0.",
        "required": false,
        "min": 0.000001,
        "default": 1.0
      },
      {
        "name": "do_sample",
        "type": "bool",
        "description": "Enable sampling instead of greedy decode when num_beams is 1; default false.",
        "required": false,
        "default": false
      },
      {
        "name": "temperature",
        "type": "float",
        "description": "Decoder sampling temperature; must be positive when set; default 1.0.",
        "required": false,
        "min": 0.000001,
        "default": 1.0
      },
      {
        "name": "top_k",
        "type": "int",
        "description": "Top-k sampling limit; default 50, 0 disables top-k.",
        "required": false,
        "min": 0,
        "default": 50
      },
      {
        "name": "top_p",
        "type": "float",
        "description": "Nucleus sampling limit in (0, 1]; default 1.0.",
        "required": false,
        "min": 0.000001,
        "max": 1.0,
        "default": 1.0
      },
      {
        "name": "seed",
        "type": "int",
        "description": "Decoder sampling seed; default 0.",
        "required": false,
        "min": 0,
        "default": 0
      },
      {
        "name": "audio_chunk_mode",
        "type": "enum",
        "description": "Audio chunking mode; default auto uses quiet-energy splitting only when audio exceeds the model clip window.",
        "values": [
          "auto",
          "fixed",
          "quiet_energy",
          "none"
        ],
        "required": false,
        "default": "auto"
      },
      {
        "name": "audio_chunk_duration_sec",
        "type": "float",
        "description": "Maximum audio chunk duration in seconds; defaults to the model clip window.",
        "required": false,
        "min": 0.000001
      }
    ],
    "session": [
      {
        "name": "weight_type",
        "type": "enum",
        "description": "Matmul weight storage type; default native.",
        "preset": "weight_type_full",
        "required": false,
        "default": "native"
      },
      {
        "name": "conv_weight_type",
        "type": "enum",
        "description": "Convolution weight storage type; defaults to weight_type when set, otherwise native.",
        "preset": "weight_type_conv",
        "required": false
      },
      {
        "name": "weight_context_mb",
        "type": "int",
        "description": "Weight descriptor context size in MiB; default 32.",
        "required": false,
        "min": 1,
        "default": 32
      },
      {
        "name": "encoder_graph_arena_mb",
        "type": "int",
        "description": "Encoder graph arena size in MiB; default 512.",
        "required": false,
        "min": 1,
        "default": 512
      },
      {
        "name": "decoder_prefill_graph_arena_mb",
        "type": "int",
        "description": "Decoder prefill graph arena size in MiB; default 512.",
        "required": false,
        "min": 1,
        "default": 512
      },
      {
        "name": "decoder_decode_graph_arena_mb",
        "type": "int",
        "description": "Decoder cached-step graph arena size in MiB; default 512.",
        "required": false,
        "min": 1,
        "default": 512
      }
    ],
    "load": []
  },
  "runtime": {
    "tags": [
      "gguf"
    ]
  },
  "ui": {
    "recommended_package": "hviske_asr_q8_0",
    "tags": [
      "ASR",
      "GGUF"
    ],
    "docs": [
      "docs/asr.md",
      "docs/gguf.md"
    ]
  },
  "packages": [
    {
      "id": "hviske_asr_q8_0",
      "display_name": "Hviske v5.3 Q8_0 GGUF",
      "default": true,
      "format": "gguf",
      "precision": "q8_0",
      "target_directory": "Hviske-v5.3-GGUF",
      "files": [
        "Audio to text (ASR)/hviske-v5.3_Q8.gguf"
      ],
      "strip_prefix": "Audio to text (ASR)",
      "download": {
        "kind": "huggingface_snapshot",
        "repo": "mirek190/audio.cpp"
      }
    },
    {
      "id": "hviske_asr_safetensors",
      "display_name": "Hviske v5.3 Safetensors",
      "format": "safetensors",
      "precision": "native",
      "target_directory": "hviske-v5.3",
      "files": [
        "config.json",
        "generation_config.json",
        "model.safetensors",
        "tokenizer.model"
      ],
      "download": {
        "kind": "huggingface_snapshot",
        "repo": "syvai/hviske-v5.3"
      }
    }
  ],
  "sources": [
    {
      "format": "gguf",
      "roots": {
        "model": ".",
        "weights": "$gguf"
      },
      "files": {
        "config": "model:config.json",
        "generation_config": "model:generation_config.json",
        "tokenizer": "model:tokenizer.model"
      },
      "tensors": {
        "weights": "weights:"
      }
    },
    {
      "format": "safetensors",
      "roots": {
        "model": "."
      },
      "files": {
        "config": "model:config.json",
        "generation_config": "model:generation_config.json",
        "tokenizer": "model:tokenizer.model"
      },
      "tensors": {
        "weights": "model:model.safetensors"
      }
    }
  ]
}