{ "schema_version": 1, "family": "kugelaudio", "display_name": "KugelAudio-0-Open", "description": "KugelAudio text-to-speech with bundled preset voices and incremental audio output.", "category": "tts", "status": "experimental", "tasks": [ "tts" ], "modes": [ "offline", "streaming" ], "languages": [ "en", "de", "fr", "es", "it", "pt", "nl", "pl", "ru", "uk", "cs", "ro", "hu", "sv", "da", "fi", "no", "el", "bg", "sk", "hr", "sr", "tr" ], "runtime": { "tags": [ "gguf" ] }, "capabilities": { "tts": [ "long_form" ] }, "options": { "request": [ { "name": "voice_id", "type": "enum", "values": [ "default", "clear", "english_female", "english_male" ], "description": "Bundled preset voice.", "default": "default", "required": false }, { "name": "num_inference_steps", "type": "int", "description": "Diffusion steps per acoustic frame, from 1 to 1000; omitted uses the checkpoint's diffusion_head_config.ddpm_num_inference_steps.", "min": 1, "max": 1000, "default": 20, "required": false }, { "name": "guidance_scale", "type": "float", "description": "Diffusion classifier-free guidance; 1 disables the unconditional pass. Any finite value is accepted; negative values enter CFG arithmetic.", "default": 3, "required": false }, { "name": "max_tokens", "type": "int", "description": "Maximum autoregressive tokens per text chunk.", "min": 1, "default": 2048, "required": false }, { "name": "do_sample", "type": "bool", "description": "Sample autoregressive speech control tokens instead of greedy decoding.", "default": false, "required": false }, { "name": "temperature", "type": "float", "description": "Autoregressive sampling temperature when do_sample is enabled. Any finite value is accepted; negative values disable sampling.", "default": 1, "required": false }, { "name": "seed", "type": "int", "description": "Random seed; -1 chooses a random seed.", "min": -1, "default": 1234, "required": false }, { "name": "text_chunk_size", "type": "int", "description": "Maximum Unicode codepoints per long-form text chunk.", "min": 1, "default": 300, "required": false }, { "name": "text_chunk_mode", "type": "enum", "values": [ "default", "tag_aware", "japanese", "endline" ], "description": "Framework long-form text splitting mode.", "default": "default", "required": false } ], "session": [ { "name": "weight_type", "type": "enum", "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" ], "description": "Weight storage type; native preserves packaged tensor types.", "default": "native", "required": false } ], "load": [] }, "package_defaults": { "download": { "kind": "huggingface_snapshot", "repo": "audio-cpp/audio.cpp-gguf", "revision": "main", "gated": false } }, "packages": [ { "id": "kugelaudio_0_open_bf16", "display_name": "KugelAudio-0-Open BF16 GGUF", "default": false, "format": "gguf", "precision": "bf16", "target_directory": "KugelAudio-0-Open-GGUF", "files": [ "KugelAudio-0-Open-GGUF/kugelaudio-0-open-bf16.gguf" ], "strip_prefix": "KugelAudio-0-Open-GGUF" }, { "id": "kugelaudio_0_open_q8_0", "display_name": "KugelAudio-0-Open Q8_0 GGUF", "default": true, "format": "gguf", "precision": "q8_0", "target_directory": "KugelAudio-0-Open-GGUF", "files": [ "KugelAudio-0-Open-GGUF/kugelaudio-0-open-q8_0.gguf" ], "strip_prefix": "KugelAudio-0-Open-GGUF" }, { "id": "kugelaudio_0_open_q4_k", "display_name": "KugelAudio-0-Open Q4_K GGUF", "default": false, "format": "gguf", "precision": "q4_k", "target_directory": "KugelAudio-0-Open-GGUF", "files": [ "KugelAudio-0-Open-GGUF/kugelaudio-0-open-q4_k.gguf" ], "strip_prefix": "KugelAudio-0-Open-GGUF" } ], "dependencies": [], "ui": { "recommended_package": "kugelaudio_0_open_q8_0", "default_voice": "default", "builtin_voices": [ "default", "clear", "english_female", "english_male" ], "tags": [ "TTS", "Stream", "GGUF" ], "docs": [ "docs/models/kugelaudio.md", "docs/gguf.md" ] }, "sources": [ { "format": "gguf", "roots": { "model": ".", "weights": "$gguf" }, "files": { "config": "model:config.json", "tokenizer_json": "model:text_tokenizer/tokenizer.json", "tokenizer_config": "model:text_tokenizer/tokenizer_config.json" }, "tensors": { "model_weights": "weights:" } } ] }