{ "family": "moss_tts_nano", "display_name": "MOSS-TTS-Nano", "description": "Compact deployment-first MOSS-TTS model for real-time multilingual speech generation, lightweight integration, and zero-shot voice cloning.", "category": "tts", "status": "supported", "tasks": [ "tts", "clone" ], "modes": [ "offline", "streaming" ], "languages": [ "ar", "cs", "da", "de", "el", "en", "es", "fa", "fr", "hu", "it", "ja", "ko", "pl", "pt", "ru", "sv", "tr", "zh" ], "options": { "request": [ { "name": "reference_text", "type": "string", "description": "Transcript for reference audio; a nonempty value requires voice reference audio.", "required": false, "default": "" }, { "name": "max_tokens", "type": "int", "description": "Maximum generated audio frames.", "required": false, "min": 1, "default": 300 }, { "name": "active_codebooks", "type": "int", "description": "Active codebooks; defaults to the checkpoint n_vq. Must not exceed checkpoint n_vq; omitted uses n_vq.", "required": false, "min": 1 }, { "name": "do_sample", "type": "bool", "description": "Enable sampling.", "required": false, "default": true }, { "name": "temperature", "type": "float", "description": "Audio sampling temperature. Must be positive, including when do_sample=false.", "required": false, "default": 1.7 }, { "name": "top_p", "type": "float", "description": "Audio nucleus sampling probability.", "required": false, "default": 0.8, "min": 0, "max": 1 }, { "name": "top_k", "type": "int", "description": "Audio top-k sampling limit.", "required": false, "default": 25, "min": 0 }, { "name": "repetition_penalty", "type": "float", "description": "Audio repetition penalty. Must be positive.", "required": false, "default": 1 }, { "name": "text_temperature", "type": "float", "description": "Text sampling temperature. Must be positive, including when do_sample=false.", "required": false, "default": 1.5 }, { "name": "text_top_p", "type": "float", "description": "Text nucleus sampling probability.", "required": false, "default": 1, "min": 0, "max": 1 }, { "name": "text_top_k", "type": "int", "description": "Text top-k sampling limit.", "required": false, "default": 50, "min": 0 }, { "name": "seed", "type": "int", "description": "Sampling seed; omitted chooses a random seed.", "required": false, "min": 0, "max": 4294967295 }, { "name": "text_chunk_size", "type": "int", "description": "Framework long-form text chunk size; default 50 when hanzi, kana and Hangul outnumber other letters and digits, otherwise 256.", "required": false, "min": 1 }, { "name": "text_chunk_mode", "type": "enum", "description": "Framework text chunking mode.", "required": false, "values": [ "default", "tag_aware", "japanese", "endline" ], "default": "default" } ], "session": [ { "name": "weight_type", "type": "enum", "description": "Weight storage type.", "required": false, "preset": "weight_type_full", "default": "native" }, { "name": "global_weight_type", "type": "enum", "description": "Global transformer weight storage; inherits weight_type.", "required": false, "preset": "weight_type_full" }, { "name": "local_frame_weight_type", "type": "enum", "description": "Local frame decoder weight storage; inherits weight_type.", "required": false, "preset": "weight_type_full" }, { "name": "prefill_mode", "type": "enum", "description": "How prompt rows are forwarded: one batched graph (default, fast) or one row at a time through the decode graph. single_row keeps quantized runs on a single kernel family for numerical self-consistency at a one-time prefill latency cost; see the model docs' quantization notes.", "required": false, "values": [ "batched", "single_row" ], "default": "batched" }, { "name": "global_prefill_graph_arena_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 256 }, { "name": "global_decode_graph_arena_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 128 }, { "name": "global_weight_context_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 512 }, { "name": "local_frame_graph_arena_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 64 }, { "name": "local_frame_weight_context_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 128 }, { "name": "audio_tokenizer_encoder_graph_arena_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 64 }, { "name": "audio_tokenizer_decoder_graph_arena_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 64 }, { "name": "audio_tokenizer_weight_context_mb", "type": "int", "description": "Context or graph arena size in MiB.", "required": false, "min": 1, "default": 128 } ], "load": [] }, "capabilities": { "clone": [ "speaker_reference" ] }, "runtime": { "tags": [ "gguf" ] }, "ui": { "recommended_package": "moss_tts_nano_100m_q8_0", "tags": [ "TTS", "Clone", "GGUF" ], "docs": [ "docs/models/moss_tts_nano.md", "docs/tts.md", "docs/gguf.md" ] }, "package_defaults": { "download": { "kind": "huggingface_snapshot", "repo": "audio-cpp/audio.cpp-gguf", "revision": "main", "gated": false } }, "packages": [ { "id": "moss_tts_nano_100m_q8_0", "display_name": "MOSS-TTS-Nano 100M Q8_0 GGUF", "default": true, "format": "gguf", "precision": "q8_0", "target_directory": "MOSS-TTS-Nano-100M-GGUF", "files": [ "MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-q8_0.gguf" ], "strip_prefix": "MOSS-TTS-Nano-100M-GGUF" }, { "id": "moss_tts_nano_100m_bf16", "display_name": "MOSS-TTS-Nano 100M BF16 GGUF", "format": "gguf", "precision": "bf16", "target_directory": "MOSS-TTS-Nano-100M-GGUF", "files": [ "MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-bf16.gguf" ], "strip_prefix": "MOSS-TTS-Nano-100M-GGUF" } ], "sources": [ { "format": "gguf", "roots": { "model": ".", "weights": "$gguf" }, "files": { "config": "model:config.json", "tokenizer_config": "model:tokenizer_config.json", "tokenizer_model": "model:tokenizer.model", "audio_tokenizer_config": "model:audio_tokenizer/config.json" }, "tensors": { "model_weights": { "source": "weights:", "prefix": "model_weights" }, "audio_tokenizer_weights": { "source": "weights:", "prefix": "audio_tokenizer_weights" } } }, { "format": "safetensors", "roots": { "model": ".", "audio_tokenizer": "audio_tokenizer" }, "files": { "config": "model:config.json", "tokenizer_config": "model:tokenizer_config.json", "tokenizer_model": "model:tokenizer.model", "audio_tokenizer_config": "audio_tokenizer:config.json" }, "tensors": { "model_weights": "model:model.safetensors", "audio_tokenizer_weights": "audio_tokenizer:model.safetensors.index.json" } } ] }