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{
"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"
]
}
}