{
  "schema_version": 1,
  "family": "neutts",
  "display_name": "NeuTTS",
  "description": "NeuTTS is an English text-to-speech family from Neuphonic. The current 2E package uses a Qwen3-style autoregressive speech-token backbone, NeuCodec waveform decoding, built-in speaker prompts, and emotion-token control.",
  "category": "tts",
  "status": "supported",
  "tasks": [
    "tts"
  ],
  "modes": [
    "offline",
    "streaming"
  ],
  "languages": [
    "en"
  ],
  "runtime": {
    "tags": [
      "gguf",
      "stream"
    ]
  },
  "capabilities": {
    "tts": [
      "built_in_voices",
      "emotion_control",
      "long_form"
    ]
  },
  "options": {
    "request": [
      {
        "name": "voice_id",
        "type": "enum",
        "description": "Built-in NeuTTS speaker prompt; default emily.",
        "values": [
          "dave",
          "emily",
          "greta",
          "jo",
          "juliette",
          "mateo",
          "paul",
          "sophie",
          "steven"
        ],
        "required": false,
        "default": "emily"
      },
      {
        "name": "emotion",
        "type": "enum",
        "description": "Optional emotion token inserted between reference text and target text; neutral inserts no emotion token.",
        "values": [
          "angry",
          "disgusted",
          "sad",
          "happy",
          "fearful",
          "neutral",
          "surprised"
        ],
        "required": false,
        "default": "neutral"
      },
      {
        "name": "max_tokens",
        "type": "int",
        "description": "Maximum generated speech-token count for the autoregressive generator; 0 uses the remaining model context, default 0. Total generation context is capped at min(checkpoint context, 2048).",
        "required": false,
        "min": 0,
        "default": 0
      },
      {
        "name": "min_tokens",
        "type": "int",
        "description": "Minimum generated speech-token count before EOS may stop generation; default 50.",
        "required": false,
        "min": 0,
        "default": 50
      },
      {
        "name": "temperature",
        "type": "float",
        "description": "Autoregressive sampling temperature; must be > 0, default 1.0.",
        "required": false,
        "min": 0.0,
        "default": 1.0
      },
      {
        "name": "top_k",
        "type": "int",
        "description": "Autoregressive top-k sampling limit; default 50.",
        "required": false,
        "min": 1,
        "default": 50
      },
      {
        "name": "seed",
        "type": "int",
        "description": "Autoregressive sampling seed; omitted requests choose a random seed.",
        "required": false,
        "min": 0
      },
      {
        "name": "text_chunk_mode",
        "type": "enum",
        "description": "Framework text chunking mode for long-form synthesis.",
        "values": [
          "default",
          "tag_aware",
          "japanese",
          "endline"
        ],
        "required": false,
        "default": "default"
      },
      {
        "name": "text_chunk_size",
        "type": "int",
        "description": "Maximum Unicode codepoints per long-form text chunk; default 600.",
        "required": false,
        "min": 1,
        "default": 600
      }
    ],
    "session": [
      {
        "name": "weight_type",
        "type": "enum",
        "description": "Shared matmul weight storage type for the backbone and codec decoder; default native.",
        "preset": "weight_type_full",
        "required": false,
        "default": "native"
      },
      {
        "name": "generator_weight_type",
        "type": "enum",
        "description": "Generator weight storage; inherits explicit weight_type, otherwise F32 on CPU and native on other backends.",
        "preset": "weight_type_full",
        "required": false
      },
      {
        "name": "codec_weight_type",
        "type": "enum",
        "description": "NeuCodec decoder matmul weight storage type; defaults to weight_type when set, otherwise native.",
        "preset": "weight_type_full",
        "required": false
      },
      {
        "name": "codec_conv_weight_type",
        "type": "enum",
        "description": "NeuCodec convolution weight storage type; default native.",
        "preset": "weight_type_conv",
        "required": false,
        "default": "native"
      },
      {
        "name": "runtime_graph_arena_mb",
        "type": "int",
        "description": "Reusable ggml graph arena size in MiB for NeuTTS runtime graphs; default 1024.",
        "required": false,
        "min": 1,
        "default": 1024
      }
    ],
    "load": []
  },
  "package_defaults": {
    "download": {
      "kind": "huggingface_snapshot",
      "repo": "audio-cpp/audio.cpp-gguf",
      "revision": "main",
      "gated": false
    }
  },
  "packages": [
    {
      "id": "neutts_2e_orig",
      "display_name": "NeuTTS 2E Original-Precision GGUF",
      "default": true,
      "format": "gguf",
      "precision": "orig",
      "target_directory": "NeuTTS-2E-GGUF",
      "files": [
        "NeuTTS-2E-GGUF/neutts-2e-orig.gguf"
      ],
      "strip_prefix": "NeuTTS-2E-GGUF"
    }
  ],
  "dependencies": [],
  "ui": {
    "recommended_package": "neutts_2e_orig",
    "tags": [
      "TTS",
      "GGUF",
      "Stream"
    ],
    "docs": [
      "docs/tts.md",
      "docs/models/neutts.md",
      "docs/gguf.md"
    ]
  },
  "sources": [
    {
      "format": "gguf",
      "roots": {
        "model": ".",
        "weights": "$gguf"
      },
      "files": {
        "config": "model:config.json",
        "generation_config": "model:generation_config.json",
        "tokenizer_json": "model:tokenizer.json",
        "tokenizer_config": "model:tokenizer_config.json",
        "chat_template": "model:chat_template.jinja",
        "codec_config": "model:neucodec_config.json",
        "codec_preprocessor_config": "model:neucodec_preprocessor_config.json",
        "speaker_text_dave": "model:samples/dave.txt",
        "speaker_text_emily": "model:samples/emily.txt",
        "speaker_text_greta": "model:samples/greta.txt",
        "speaker_text_jo": "model:samples/jo.txt",
        "speaker_text_juliette": "model:samples/juliette.txt",
        "speaker_text_mateo": "model:samples/mateo.txt",
        "speaker_text_paul": "model:samples/paul.txt",
        "speaker_text_sophie": "model:samples/sophie.txt",
        "speaker_text_steven": "model:samples/steven.txt"
      },
      "tensors": {
        "backbone": {
          "source": "weights:",
          "prefix": "backbone"
        },
        "codec": {
          "source": "weights:",
          "prefix": "codec"
        },
        "speaker_prompts": {
          "source": "weights:",
          "prefix": "speaker_prompts"
        }
      }
    },
    {
      "format": "safetensors",
      "roots": {
        "model": ".",
        "codec": "../NeuCodec"
      },
      "files": {
        "config": "model:config.json",
        "generation_config": "model:generation_config.json",
        "tokenizer_json": "model:tokenizer.json",
        "tokenizer_config": "model:tokenizer_config.json",
        "chat_template": "model:chat_template.jinja",
        "codec_config": "codec:config.json",
        "codec_preprocessor_config": "codec:preprocessor_config.json",
        "speaker_text_dave": "model:samples/dave.txt",
        "speaker_text_emily": "model:samples/emily.txt",
        "speaker_text_greta": "model:samples/greta.txt",
        "speaker_text_jo": "model:samples/jo.txt",
        "speaker_text_juliette": "model:samples/juliette.txt",
        "speaker_text_mateo": "model:samples/mateo.txt",
        "speaker_text_paul": "model:samples/paul.txt",
        "speaker_text_sophie": "model:samples/sophie.txt",
        "speaker_text_steven": "model:samples/steven.txt"
      },
      "tensors": {
        "backbone": "model:model.safetensors",
        "codec": "codec:model.safetensors",
        "speaker_prompts": "model:samples/speaker_prompts.safetensors"
      }
    }
  ]
}