OpenMOSS-Team/MOSS-TTS-Local-Transformer
text-to-speech model by OpenMOSS-Team
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS. When a single piece of audio needs to sound like a real person, pronounce every word accurately, switch speaking styles across content, remain stable over tens of minutes, and support dialogue, role‑play, and real‑time interaction, a single TTS model is often not enough. The MOSS‑TTS Family breaks the workflow into five production‑ready models that can be used independently or composed into a complete pipeline. We train MossTTSDelay and MossTTSLocal as complementary baselines under one training/evaluation setup: Delay emphasizes long-context stability, inference speed, and production readiness, while Local emphasizes lightweight flexibility and strong objective performance for streaming-oriented systems. Together they provide reproducible references for deployment and research. MossTTSRealtime…
Read the full model card ↗ · Preview checked 2026-09-26T06:47:46.641Z
Inside the original model card — Document outline
- MOSS-TTS Family
- Overview
- Introduction
- Model Architecture
- Released Models
- Supported Languages
- MOSS-TTS
- 1. Overview
- 1.1 TTS Family Positioning
- 1.2 Key Capabilities
- 1.3 Model Architecture
- 1.4 Released Models
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Links from the model card
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
OpenMOSS-Team/MOSS-TTS-Local-Transformer is a text-to-speech model repository published by OpenMOSS-Team on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- Not reported
- Recent downloads (30 days)
- 13,653
- Cumulative likes
- 31
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 3,060,606,464
- Architecture
- MossTTSDelayModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-02-08T10:16:42.000Z
- Last modified
- 2026-03-20T08:24:57.000Z
Compatibility and lineage
Reported languages: zh, en, de, es, fr, ja, it, he, ko, ru, fa, ar, pl, pt, cs, da, sv, hu, el, tr
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-26T06:38:45.049Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.