Model reference · open weights
MOSS-TTS is an open-weight audio or speech model from OpenMOSS-Team, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
MOSS-TTS Family MOSS-TTS-v1.5 MOSS-TTS-v1.5 is continued from MOSS-TTS 1.0. It preserves the main 1.0 capabilities, including zero-shot voice cloning, long-form speech generation, token-level duration control, Pinyin/IPA pronunciation control, multilingual synthesis, and code-switching. For the full 1.0 feature walkthrough, input schema, decoding hyperparameters, and evaluation tables, please refer to the MOSS-TTS 1.0 README. Compared with MOSS-TTS 1.0, v1.5 focuses on the following improvements: - Stronger multilingual synthesis with language tags: when the language field is omitted, v1.5 may improve some languages and regress slightly on others compared with 1.0. When the language is specified, v1.5 is stronger than 1.0 on almost all supported languages. Set the tag when building the user message, for example processor.buildusermessage(text=textfr, language="French"). - More stable voice cloning: v1.5 improves speaker similarity and reduces cloning variance, making repeated generations more consistent. - Better long-reference, short-text cloning: v1.5 handles scenarios where the reference audio is much longer than the target text more reliably than 1.0. - More stable punctuation-following prosody: v1.5 follows punctuation-driven pauses more closely, especially in long sentences. - Explicit pause control: v1.5 supports inline pause markers such as "[pause 3.2s]". For example, 我今天学习了一首中国的古诗，它的名字是[pause 3.2s]静夜思！ inserts an explicit 3.2s pause before 静夜思. Supported Languages MOSS-TTS-v1.5 currently supports 31 languages. It keeps the 20 languages supported by MOSS-TTS 1.0 and extends multilingual continued training to additional languages including Cantonese, Dutch, Finnish, Hindi, Macedonian, Malay, Romanian, Swahili, Tagalog, Thai, and Vietnamese. Quick Start Environment Setup We recommend a clean, isolated Python environment with Transformers 5.0.0 to avoid dependency conflicts. Install all required dependencies: (Optional) Install FlashAttention 2 For better speed and lower GPU memory usage, you can install FlashAttention 2 if your hardware supports it. If your machine has limited RAM and many CPU cores, you can cap build parallelism:
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | OpenMOSS-Team |
|---|---|
| Type | Audio & music |
| Parameters (lead) | 8.5B |
| Variants | 1 |
| Released | 2026-05-25 |
| Popularity | 413k downloads / month |
| Likes | 426 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| MOSS-TTS-v1.5 | 8.5B | BF16 | ~19.5 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys moss-tts for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (moss-tts below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="moss-tts" -F file=@audio.mp3
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗