{
  "schema_version": 1,
  "family": "glm_tts",
  "display_name": "GLM-TTS",
  "description": "Community Chinese-English zero-shot speech synthesis and voice cloning with native Llama, Whisper-VQ, Flow/DiT, CAMPPlus, and HiFT execution.",
  "category": "tts",
  "status": "community",
  "tasks": [
    "tts",
    "clone"
  ],
  "modes": [
    "offline"
  ],
  "languages": [
    "zh",
    "en"
  ],
  "capabilities": {
    "clone": [
      "speaker_reference"
    ]
  },
  "options": {
    "request": [
      {
        "name": "reference_text",
        "type": "string",
        "description": "Transcript matching the reference voice audio; required by GLM-TTS zero-shot synthesis.",
        "required": true
      },
      {
        "name": "max_tokens",
        "type": "int",
        "description": "Maximum generated speech tokens; otherwise the official 2x-to-20x text-token bounds are used.",
        "required": false,
        "min": 0,
        "default": 0
      },
      {
        "name": "temperature",
        "type": "float",
        "description": "Speech-token temperature; official default 1.0.",
        "required": false,
        "min": 0.0,
        "default": 1.0
      },
      {
        "name": "top_k",
        "type": "int",
        "description": "Speech-token top-k; official default 25.",
        "required": false,
        "min": 0,
        "default": 25
      },
      {
        "name": "top_p",
        "type": "float",
        "description": "Speech-token nucleus threshold; official default 0.8.",
        "required": false,
        "min": 0.0,
        "max": 1.0,
        "default": 0.8
      },
      {
        "name": "seed",
        "type": "int",
        "description": "Speech-token, Flow-noise, and HiFT seed.",
        "required": false,
        "min": 0,
        "default": 0
      },
      {
        "name": "num_inference_steps",
        "type": "int",
        "description": "Flow Euler steps; defaults to model config, usually official default 10.",
        "required": false,
        "min": 1
      },
      {
        "name": "flow_guidance_scale",
        "type": "float",
        "description": "Flow classifier-free guidance rate; defaults to model config, usually official default 0.7.",
        "required": false,
        "min": 0.0
      },
      {
        "name": "flow_noise_path",
        "type": "path",
        "description": "Optional raw float32 initial Flow noise for parity tests.",
        "required": false
      },
      {
        "name": "hift_source_random_path",
        "type": "path",
        "description": "Optional raw float32 HiFT phase-uniform and Gaussian values for parity tests.",
        "required": false
      },
      {
        "name": "hift_prior_noise_count",
        "type": "int",
        "description": "Torch RNG value offset used before HiFT source generation; default 0.",
        "required": false,
        "min": 0,
        "default": 0
      }
    ],
    "session": [
      {
        "name": "weight_type",
        "type": "enum",
        "description": "Requested component weight storage type; default native.",
        "preset": "weight_type_full",
        "required": false,
        "default": "native"
      },
      {
        "name": "mem_saver",
        "type": "bool",
        "description": "Release reference-only encoders after caching the voice while keeping the generation path warm; default false.",
        "required": false,
        "default": false
      },
      {
        "name": "aggressive_mem_saver",
        "type": "bool",
        "description": "Also release Llama, Flow, and HiFT after every stage. Minimizes VRAM but reloads the generation path on every request; default false.",
        "required": false,
        "default": false
      },
      {
        "name": "reference_cache_slots",
        "type": "int",
        "description": "Prepared reference-audio cache slots; default 1. Use 0 to disable.",
        "required": false,
        "min": 0,
        "default": 1
      },
      {
        "name": "llama_weight_context_mb",
        "type": "int",
        "description": "Llama weight metadata context in MiB; default 8192.",
        "required": false,
        "min": 1,
        "default": 8192
      },
      {
        "name": "constant_context_mb",
        "type": "int",
        "description": "Llama constant tensor context in MiB; default 256.",
        "required": false,
        "min": 1,
        "default": 256
      }
    ],
    "load": []
  },
  "runtime": {
    "tags": [
      "gguf"
    ]
  },
  "sources": [
    {
      "format": "gguf",
      "roots": {
        "model": ".",
        "weights": "$gguf"
      },
      "files": {
        "llama_config": "model:llm/config.json",
        "llama_generation_config": "model:llm/generation_config.json",
        "speech_tokenizer_config": "model:speech_tokenizer/config.json",
        "speech_tokenizer_preprocessor": "model:speech_tokenizer/preprocessor_config.json",
        "tokenizer_config": "model:vq32k-phoneme-tokenizer/tokenizer_config.json",
        "tokenizer_vocab": "model:vq32k-phoneme-tokenizer/tokenizer_vocab.json",
        "tokenizer_merges": "model:vq32k-phoneme-tokenizer/tokenizer_merges.txt",
        "flow_config": "model:flow/config.yaml",
        "audio_cpp_config": "model:audio_cpp_config.json"
      },
      "tensors": {
        "llama_weights": {
          "source": "weights:",
          "prefix": "llama_weights"
        },
        "speech_tokenizer_weights": {
          "source": "weights:",
          "prefix": "speech_tokenizer_weights"
        },
        "flow_weights": {
          "source": "weights:",
          "prefix": "flow_weights"
        },
        "hift_weights": {
          "source": "weights:",
          "prefix": "hift_weights"
        },
        "campplus_weights": {
          "source": "weights:",
          "prefix": "campplus_weights"
        }
      }
    },
    {
      "format": "safetensors",
      "roots": {
        "model": "."
      },
      "files": {
        "llama_config": "model:llm/config.json",
        "llama_generation_config": "model:llm/generation_config.json",
        "speech_tokenizer_config": "model:speech_tokenizer/config.json",
        "speech_tokenizer_preprocessor": "model:speech_tokenizer/preprocessor_config.json",
        "tokenizer_config": "model:vq32k-phoneme-tokenizer/tokenizer_config.json",
        "tokenizer_vocab": "model:vq32k-phoneme-tokenizer/tokenizer_vocab.json",
        "tokenizer_merges": "model:vq32k-phoneme-tokenizer/tokenizer_merges.txt",
        "flow_config": "model:flow/config.yaml",
        "audio_cpp_config": "model:audio_cpp_config.json"
      },
      "tensors": {
        "llama_weights": "model:llm/model.safetensors.index.json",
        "speech_tokenizer_weights": "model:speech_tokenizer/model.safetensors",
        "flow_weights": "model:flow/model.safetensors",
        "hift_weights": "model:hift/model.safetensors",
        "campplus_weights": "model:frontend/campplus.safetensors"
      }
    }
  ],
  "packages": [
    {
      "id": "glm_tts_q8_0",
      "display_name": "GLM-TTS mixed Q8_0/F16 GGUF",
      "default": true,
      "format": "gguf",
      "precision": "q8_0",
      "target_directory": "GLM-TTS-Q8",
      "files": [
        "Text to audio (TTS)/GLM-TTS_Q8.gguf"
      ],
      "download": {
        "kind": "huggingface_snapshot",
        "repo": "mirek190/audio.cpp"
      }
    }
  ],
  "dependencies": [],
  "ui": {
    "recommended_package": "glm_tts_q8_0",
    "tags": [
      "TTS",
      "Clone",
      "GGUF"
    ],
    "docs": [
      "docs/community_models/glm_tts.md",
      "docs/reports/glm_tts_validation.md",
      "docs/gguf.md"
    ]
  }
}