OpenMOSS

73 posts

OpenMOSS banner
OpenMOSS

OpenMOSS

@Open_MOSS

An open research lab building artificial general intelligence. Join Discord ⚡️ https://t.co/FLvN5uXGlK

Katılım Ocak 2025
33 Takip Edilen501 Takipçiler
Sabitlenmiş Tweet
OpenMOSS
OpenMOSS@Open_MOSS·
@MosiAI_Official we're open-sourcing MOSS-Transcribe-Diarize-0.9B on @huggingface 🚀 An end-to-end ASR model for long, multi-speaker audio: transcription + speaker labels + timestamps in one generation pass. Thank you @sgl_project @vllm_project @Prince_Canuma @lllucas for day-0 support! 🚀
MOSI@MosiAI_Official

🤗 MOSS-Transcribe-Diarize-0.9B is now open source on @huggingface. Built with an end-to-end audio-to-structured-transcript paradigm: >0.9B open-source ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Multi-speaker diarization for meetings, interruptions, and overlapping voices >Hotword biasing for names, terms, and domain-specific vocabulary >~100 token/s on NVIDIA RTX 4090, RTF ~0.017 Thank you @sgl_project @vllm_project @Prince_Canuma @lllucas for day-0 support! 🚀 Github: github.com/OpenMOSS/MOSS-… Huggingface: huggingface.co/spaces/OpenMOS… API: shorturl.at/DWwe3 Live demo: shorturl.at/wRZ3j Technical Report：arxiv.org/abs/2601.01554 HF Space: huggingface.co/spaces/OpenMOS… AtomGit：ai.atomgit.com/OpenMOSS/MOSS-… SGLang-Omni: github.com/sgl-project/sg… vLLM: github.com/vllm-project/v… MLX-audio: github.com/Blaizzy/mlx-au… Discord:discord.gg/SmVQHGffZU

English
2
4
18
554
OpenMOSS retweetledi
MOSI
MOSI@MosiAI_Official·
🤗 MOSS Transcribe series update.@Open_MOSS Alongside MOSS-Transcribe-Diarize-0.9B, we are also updating two models: MOSS-Transcribe-Diarize Pro >Flagship multi-speaker transcription for complex meetings, long audio, multilingual scenarios, and enterprise API use. MOSS-Transcribe >Open-source ASR for challenging English speech, including standard English, diverse accents, quiet speech, and whispers. Built for enterprise meetings, call-center QA, podcast transcription, interview cleanup, and content production.
MOSI tweet media
English
11
20
125
9K
OpenMOSS retweetledi
Daniel van Strien
Daniel van Strien@vanstriendaniel·
This week @Open_MOSS released MOSS-Transcribe-Diarize, a 0.9B open model (Apache 2.0) that transcribes, diarizes, and timestamps in a single pass. I used it to make 174 hours of Apollo 11 mission audio searchable by who said what, when. Total cost: $9.46. These are the real NASA tapes from July 1969, hosted by the @internetarchive. All 103 run through one @huggingface Job: a100-large, 3.8h, 47x realtime, @sgl_project serving the model inside the job. 45,355 timestamped speaker segments. Search the mission and hear any moment from the original tape! Space: huggingface.co/spaces/davanst…
Daniel van Strien tweet media
English
8
10
52
10.7K
OpenMOSS retweetledi
Prince Canuma
Prince Canuma@Prince_Canuma·
🎉 Congrats to @MosiAI_Official + @Open_MOSS on the release of MOSS-Transcribe-Diarize-0.9B — a genuinely impressive end-to-end ASR model for real-world, multi-speaker conversations. We're proud to partner with them for day-0 support on mlx-audio (Python & Swift). Now running local-first on Apple Silicon: 🎙️ transcript + speaker labels + timestamps in one pass 🗣️ unlimited-speaker diarization ⏱️ up to ~90 min of audio per input 🌍 90+ languages 🧠 128K context • Whisper-Medium encoder + Qwen3-0.6B decoder 🎯 hotword boosting for names, products & domain terms Perfect for meetings, podcasts, interviews, and long-form call analysis — no cloud, no data leaving your Mac. Get started now: 🐍 Python > uv pip install -U mlx-audio 🍎 Swift .package(url: "github.com/Blaizzy/mlx-au…", from: "0.1.3") Go build. 🚀
MOSI@MosiAI_Official

🤗 MOSS-Transcribe-Diarize-0.9B is now open source on @huggingface. Built with an end-to-end audio-to-structured-transcript paradigm: >0.9B open-source ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Multi-speaker diarization for meetings, interruptions, and overlapping voices >Hotword biasing for names, terms, and domain-specific vocabulary >~100 token/s on NVIDIA RTX 4090, RTF ~0.017 Thank you @sgl_project @vllm_project @Prince_Canuma @lllucas for day-0 support! 🚀 Github: github.com/OpenMOSS/MOSS-… Huggingface: huggingface.co/spaces/OpenMOS… API: shorturl.at/DWwe3 Live demo: shorturl.at/wRZ3j Technical Report：arxiv.org/abs/2601.01554 HF Space: huggingface.co/spaces/OpenMOS… AtomGit：ai.atomgit.com/OpenMOSS/MOSS-… SGLang-Omni: github.com/sgl-project/sg… vLLM: github.com/vllm-project/v… MLX-audio: github.com/Blaizzy/mlx-au… Discord:discord.gg/SmVQHGffZU

English
9
17
87
10.8K
OpenMOSS
OpenMOSS@Open_MOSS·
@MosiAI_Official we're open-sourcing MOSS-Transcribe-Diarize-0.9B on @huggingface 🚀 An end-to-end ASR model for long, multi-speaker audio: transcription + speaker labels + timestamps in one generation pass. Thank you @sgl_project @vllm_project @Prince_Canuma @lllucas for day-0 support! 🚀
MOSI@MosiAI_Official

🤗 MOSS-Transcribe-Diarize-0.9B is now open source on @huggingface. Built with an end-to-end audio-to-structured-transcript paradigm: >0.9B open-source ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Multi-speaker diarization for meetings, interruptions, and overlapping voices >Hotword biasing for names, terms, and domain-specific vocabulary >~100 token/s on NVIDIA RTX 4090, RTF ~0.017 Thank you @sgl_project @vllm_project @Prince_Canuma @lllucas for day-0 support! 🚀 Github: github.com/OpenMOSS/MOSS-… Huggingface: huggingface.co/spaces/OpenMOS… API: shorturl.at/DWwe3 Live demo: shorturl.at/wRZ3j Technical Report：arxiv.org/abs/2601.01554 HF Space: huggingface.co/spaces/OpenMOS… AtomGit：ai.atomgit.com/OpenMOSS/MOSS-… SGLang-Omni: github.com/sgl-project/sg… vLLM: github.com/vllm-project/v… MLX-audio: github.com/Blaizzy/mlx-au… Discord:discord.gg/SmVQHGffZU

English
2
4
18
554
Yichi Zhang
Yichi Zhang@YichiZ03·
People may think serving and optimizing TTS (Text to Speech) model is similar to traditional LLM. It isn't. We made Higgs and MOSS-TTS 2–3.4× faster in SGLang-Omni — and most of the wins landed outside the LLM backbone. Delay patterns, D2H stalls, a vocoder tail-latency killer... In this post, we share everything we learned — every optimization, and every trade-off behind it. We hope it proves a valuable resource for developers building in this space. Full breakdown: x.com/YichiZ03/statu… @sgl_project
Yichi Zhang@YichiZ03

x.com/i/article/2074…

English
10
13
92
21.8K
OpenMOSS retweetledi
Novita AI
Novita AI@novita_labs·
🚀 MOSS-TTS Local Transformer v1.5 is now available on Novita. Build voice agents with: 🎙️ Zero-shot voice cloning 🌍 Speech synthesis in 30+ languages 🎧 Native 48 kHz stereo audio ⚡ Streaming TTS with ultra-low latency Thanks to @MosiAI_Official for open-sourcing MOSS-TTS.
English
6
5
27
2.2K
OpenMOSS retweetledi
Adina Yakup
Adina Yakup@AdinaYakup·
OpenMoss has been releasing some impressive TTS 🔥 MOSS-TTS-Local v1.5 🔊 - Generates native 48kHz stereo - Support 30+ languages - 5B & Apache 2.0 Model and demo are available on @huggingface
English
6
11
103
7.2K
Ivan Fioravanti ᯅ
Ivan Fioravanti ᯅ@ivanfioravanti·
mlx-audio + MOSS-TTS-Local-Transformer-v1.5 + Kling Omni with lip sync 🔥 Thanks @MosiAI_Official for this super model! X: what can I use locally on Apple Silicon to generate videos with lip sync?
English
10
10
96
8.7K
OpenMOSS retweetledi
Ting Chen Liang
Ting Chen Liang@ting_·
omg this made my day 🥹 Someone already made a ComfyUI node pack for @MosiAI_Official @Open_MOSS MOSS-TTS Local Transformer v1.5 Clone voices, generate speech in 30+ languages, and export 48 kHz stereo audio right from your workflow!! thank you for building this🩵 @drbaph
Ting Chen Liang tweet media
English
4
4
27
1.6K
LinearUncle
LinearUncle@LinearUncle·
推荐一家叫模思的中国公司的开源声音克隆仓库： MOSS-TTS 你朗读一段文字，它克隆你的声音，然后就可以用你的声音朗读任意文本，查看帖子详情看我实战如何使用，效果很好，可以以假乱真。 github.com/OpenMOSS/MOSS-… 模型下载： huggingface.co/OpenMOSS-Team/… 实战过程： 1. 在codex里输入如下提示词帮我安装和运行： ``` read huggingface.co/OpenMOSS-Team/…, 在我本地安装和运行 ``` 2. code开始下载模型，但是非常慢，需要提示它用aria2来下载 3. 下载完毕后，让它给出如何克隆我的声音的步骤，按照步骤操作 4. 克隆声音后，让它根据我的声音生成朗读李白的《静夜思》的音频文件 我听了下效果非常好！非常像我的声音！ 关注我，永远有实战，而不是简单转发！！
LinearUncle tweet mediaLinearUncle tweet mediaLinearUncle tweet media
OpenMOSS@Open_MOSS

🤗 MOSS-TTS-Local Transformer v1.5 is now open source. Built with a pure autoregressive Audio Tokenizer + LLM paradigm: >MOSS-Audio-Tokenizer-v2, 2B params >Qwen3-4B backbone >Native 48 kHz stereo audio >Streaming output with theoretical sub-100 ms TTFT >Zero-shot voice cloning >Inline [pause] control >🇺🇸 🇯🇵 🇰🇷 31 language synthesis >SGLang-Omni Day0 support 🎉 @sgl_project @lmsysorg Designed for voice agents, digital humans, game NPCs, audiobooks, and real-time speech generation. 👇

中文
14
87
376
47.1K
OpenMOSS
OpenMOSS@Open_MOSS·
@LinearUncle thank you for sharing, love it! what's the sound like? would love to hear the voice!
GIF
English
1
0
2
493
OpenMOSS
OpenMOSS@Open_MOSS·
🤗 MOSS-TTS-Local Transformer v1.5 is now open source. Built with a pure autoregressive Audio Tokenizer + LLM paradigm: >MOSS-Audio-Tokenizer-v2, 2B params >Qwen3-4B backbone >Native 48 kHz stereo audio >Streaming output with theoretical sub-100 ms TTFT >Zero-shot voice cloning >Inline [pause] control >🇺🇸 🇯🇵 🇰🇷 31 language synthesis >SGLang-Omni Day0 support 🎉 @sgl_project @lmsysorg Designed for voice agents, digital humans, game NPCs, audiobooks, and real-time speech generation. 👇
English
7
21
91
89.4K

Keşfet

@LetMoltBot @MosiAI_Official @ClementDelangue @vanstriendaniel @internetarchive @huggingface @sgl_project @vllm_project