{
    "schema_version": 1,
    "family": "voxtral_tts",
    "display_name": "Voxtral 4B TTS",
    "description": "Mistral's Ministral-based autoregressive and flow-matching TTS model with 20 embedded preset voices.",
    "category": "tts",
    "status": "supported",
    "tasks": [
        "tts"
    ],
    "modes": [
        "offline",
        "streaming"
    ],
    "languages": [
        "en",
        "fr",
        "es",
        "de",
        "it",
        "pt",
        "nl",
        "ar",
        "hi"
    ],
    "runtime": {
        "tags": [
            "gguf"
        ]
    },
    "capabilities": {
        "tts": [
            "built_in_voices",
            "long_form"
        ]
    },
    "options": {
        "request": [
            {
                "name": "voice_id",
                "type": "enum",
                "description": "Embedded preset voice; the released checkpoint does not contain the encoder needed for reference-audio cloning.",
                "values": [
                    "casual_female",
                    "casual_male",
                    "cheerful_female",
                    "neutral_female",
                    "neutral_male",
                    "pt_male",
                    "pt_female",
                    "nl_male",
                    "nl_female",
                    "it_male",
                    "it_female",
                    "fr_male",
                    "fr_female",
                    "es_male",
                    "es_female",
                    "de_male",
                    "de_female",
                    "ar_male",
                    "hi_male",
                    "hi_female"
                ],
                "required": false,
                "default": "casual_male"
            },
            {
                "name": "max_tokens",
                "type": "int",
                "description": "Maximum generated audio frames per text chunk; each frame represents 80 ms.",
                "required": false,
                "min": 1,
                "default": 2048
            },
            {
                "name": "num_inference_steps",
                "type": "int",
                "description": "Euler integration steps for the per-frame acoustic flow model.",
                "required": false,
                "min": 1,
                "default": 7
            },
            {
                "name": "guidance_scale",
                "type": "float",
                "description": "Acoustic classifier-free guidance scale; the AR backbone does not use CFG.",
                "required": false,
                "min": 0,
                "default": 1.2
            },
            {
                "name": "seed",
                "type": "int",
                "description": "Acoustic noise seed; omitted requests select a random seed.",
                "required": false,
                "min": 0
            },
            {
                "name": "text_chunk_size",
                "type": "int",
                "description": "Maximum Unicode codepoints per framework long-form text chunk.",
                "required": false,
                "min": 1,
                "default": 300
            },
            {
                "name": "text_chunk_mode",
                "type": "enum",
                "description": "Framework text chunking mode.",
                "values": [
                    "default",
                    "tag_aware",
                    "japanese",
                    "endline"
                ],
                "required": false,
                "default": "default"
            }
        ],
        "session": [
            {
                "name": "weight_type",
                "type": "enum",
                "description": "Weight storage type; native preserves the package's tensor types.",
                "values": [
                    "native",
                    "f32",
                    "f16",
                    "bf16",
                    "q4_0",
                    "q4_1",
                    "q5_0",
                    "q5_1",
                    "q2_k",
                    "q3_k",
                    "q4_k",
                    "q5_k",
                    "q6_k",
                    "q8_0",
                    "nvfp4"
                ],
                "required": false,
                "default": "native"
            },
            {
                "name": "kv_cache_type",
                "type": "enum",
                "description": "AR key/value cache storage type.",
                "values": [
                    "f32",
                    "f16",
                    "bf16"
                ],
                "required": false,
                "default": "f16"
            }
        ],
        "load": []
    },
    "package_defaults": {
        "download": {
            "kind": "huggingface_snapshot",
            "repo": "audio-cpp/audio.cpp-gguf",
            "revision": "main",
            "gated": false
        }
    },
    "packages": [
        {
            "id": "voxtral_4b_tts_2603_bf16",
            "display_name": "Voxtral 4B TTS 2603 BF16 GGUF",
            "default": true,
            "format": "gguf",
            "precision": "bf16",
            "target_directory": "Voxtral-4B-TTS-2603-GGUF",
            "files": [
                "Voxtral-4B-TTS-2603-GGUF/voxtral-4b-tts-2603-bf16.gguf"
            ],
            "strip_prefix": "Voxtral-4B-TTS-2603-GGUF"
        },
        {
            "id": "voxtral_4b_tts_2603_q8_0",
            "display_name": "Voxtral 4B TTS 2603 Q8_0 GGUF",
            "default": false,
            "format": "gguf",
            "precision": "q8_0",
            "target_directory": "Voxtral-4B-TTS-2603-GGUF",
            "files": [
                "Voxtral-4B-TTS-2603-GGUF/voxtral-4b-tts-2603-q8_0.gguf"
            ],
            "strip_prefix": "Voxtral-4B-TTS-2603-GGUF"
        }
    ],
    "dependencies": [],
    "ui": {
        "recommended_package": "voxtral_4b_tts_2603_bf16",
        "tags": [
            "TTS",
            "GGUF"
        ],
        "docs": [
            "docs/models/voxtral_tts.md",
            "docs/gguf.md"
        ]
    },
    "sources": [
        {
            "format": "gguf",
            "roots": {
                "model": ".",
                "weights": "$gguf"
            },
            "files": {
                "config": "model:params.json",
                "tokenizer_json": "model:tokenizer.json",
                "tokenizer_config": "model:tokenizer_config.json"
            },
            "tensors": {
                "model_weights": "weights:"
            }
        }
    ]
}