REPO·RANK #411·0/6 firing·Python
Rank#411Python
Cross-signal0.00 / 6.0
Quiet across tracked channels.
Cross-signal · 30D+15%
GitHubQUIET+0 stars24h
HackerNewsQUIET0 posts7d
RedditQUIET0 posts7d
BlueskyQUIET0 posts7d
Dev.toQUIET0 posts7d
XQUIET0 posts7d
Stars2.9k+0 7d+0 today
Forks376+0 7d13% fork ratio
Contribs5+0 30dteam-led
Momentum18.03.2stars-velocity score
SurfaceTHIN1 / 6last commit 13h ago
Coverage1 / 13 sources fired (7d)
·
OpenMOSS/MOSS-TTS-Nano sits at 2,904 GitHub stars with steady Python traction — organic growth keeps it on the trending list.
// 01 · GITHUB MOMENTUM
18.0
0 stars 24h | 0 7d
// 02 · MENTIONS
10
10 in 24h | 1 source
// 03 · CROSS-SIGNAL
0.00
0/6 channels firing
// 04 · PACKAGE ADOPTION
-
no linked package yet
// 05 · PROJECT SURFACE
thin
last commit 13h ago
// 01
Breakdown
How is this scored?
- 6.0
- strong signal across ≥5 of 6 channels
- 5.0
- strong signal across ≥4 of 6 channels
- 4.0
- strong signal across ≥3 of 6 channels
- 3.0+
- active on 2+ channels
- <1.0
- low or no cross-channel activity
Each channel contributes 0-1. Per-channel tiers: GitHub (breakout 1.0 / hot 0.7 / rising 0.4), HN (front-page 1.0 / ≥3 mentions 0.7 / 1-2 mentions 0.4), Bluesky (≥5 mentions 1.0 / 2-4 0.7 / 1 0.4), dev.to (≥3 articles 1.0 / 2 0.7 / 1 0.4), Reddit (corpus-normalized 48h velocity), X (≥10 mentions 24h 1.0 / 3-9 0.7 / 1-2 0.4).
- GitHub momentum0.00
- Reddit0.00
- HackerNews0.00
- Bluesky0.00
- dev.to0.00
- X (Twitter)0.00
* Reddit bar shows a per-repo velocity proxy (raw score / 100); the score formula uses the corpus-normalized version so a single repo's bar may not match its contribution to the corpus-wide ranking.
// KNOWN REPO · PACKAGE · LAUNCH · SITE SURFACES
GitHubOpenMOSS/MOSS-TTS-Nano2.9k starsWebsiteopenmoss.github.iosite found; profile scan queued
Docspendingdocs scanner pending
npmnoneno linked npm package
ProductHuntnoneno launch linked
Paper/modelpendingHF/arXiv resolver not attached yet
// 02
Growth
Today
2.9k
+22 last 24h
7d
+22
1% wow
30d
+22
1% mom
Spike
+2.9k/d
1d ago · peak day
// 03
Mentions
// last scanreddit 33mhn 10mbluesky 28mdevto 1hph 36mnpm 9h
- X→ OPEN
兄弟们！ MOSS-TTS-Nano 0.1B 多语言TTS直接封神了 纯CPU实时语音生成！无需GPU，部署简单到爆 本地Demo、网页服务、轻量产品秒适配～ MOSS-TTS家族新成员，和1.7B、8B旗舰完美互补！ 20种语言+48kHz Stereo音质拉满，语音克隆直接起飞！ 开源神器get！AI语音本地化时代来了～▶ Twitter4h ago - X→ OPEN
Say hello to MOSS-TTS-Nano 🚀 0.1B multilingual TTS from MOSI.AI and OpenMOSS. Designed for realtime speech generation without a GPU. Runs directly on CPU, keeping the deployment stack simple enough for local demos, web serving, and lightweight product integration. Part of the MOSS-TTS family alongside the 1.7B and 8B flagship models. 🤖 modelscope.cn/models/openmos… 🌍 modelscope.ai/models/openmos… 💻 github.com/OpenMOSS/MOSS-TTS…▶ Twitter4h ago - X→ OPEN
🚀 New TTS Model: MOSS-TTS-Nano, a Real-time TTS that runs fully on CPU! 💡I'm always looking for good TTS models to run on an average PC (w/o a GPU) and this is one of them. OpenMOSS is a new 0.1B multilingual model: • No GPU needed, pure CPU inference • Real-time speech generation + streaming • 20 languages supported • 48 kHz stereo quality • Ultra-lightweight & easy local/web deployment Huge value for edge devices, local demos, web apps, and lightweight products where GPU isn’t an option. Part of the MOSS-TTS family 👏▶ Twitter4h ago - X→ OPEN
1 亿参数，跑在 CPU 上，实时语音克隆。 复旦 OpenMOSS 团队开源了 MOSS-TTS-Nano，可能是目前最轻量的语音合成模型。 多轻？0.1B 参数，4 核 CPU 就能流式生成，不需要 GPU。 多好？48kHz 采样率，双声道立体声输出，20 种语言支持。 怎么用：给一段参考音频，输入文字，它就能用那个声音说出来。 还有 Web Demo、CLI 工具、API 服务，部署方式随便选。 技术架构是纯自回归 Audio Tokenizer + LLM，配套的 MOSS-Audio-Tokenizer-Nano 只有 2000 万参数，能把 48kHz 立体声压缩到 12.5Hz token 流，0.125kbps 到 2kbps 可变码率。 支持长文本自动分块合成、流式推理低延迟、首包音频快速输出。 这意味着什么： - 树莓派级别的设备就能跑语音合成 - 本地部署零成本，不用调 API 不用付费 - 嵌入到自己的产品里，完全私有化 做语音助手、有声内容、无障碍工具、智能硬件的，这个模型的性价比无敌。 Apache 2.0 开源。 github.com/OpenMOSS/MOSS-TTS…▶ Twitter4h ago - X→ OPEN
OpenMOSS 开源 MOSS-TTS-Nano，一个 0.1B 参数的多语言 TTS 模型： 1. 纯自回归架构，LLM 管道 + 自研 MOSS-Audio-Tokenizer-Nano（~20M 参数），把 48kHz 立体声压缩到 12.5Hz token 流 2. 原生 48kHz 立体声输出，支持 0.125-2 kbps 可变比特率，16 本码书 RVQ 3.支持 20 种语言，包括中日韩英法德俄阿拉伯语等 4. 4 核 CPU 就能跑流式生成，支持语音克隆 GitHub: github.com/OpenMOSS/MOSS-TTS… Demo: openmoss.github.io/MOSS-TTS-…▶ Twitter4h ago - X→ OPEN
Well, we’ve seen a lot of cool open-source audio models lately: - VoxCPM2 - OmniVoice - MOSS-TTS-Nano - Audio Flamingo Next And yes, the curated list of open-source TTS, voice cloning, and music gen models just got updated. github.com/wildminder/awesom…▶ Twitter4h ago - X→ OPEN
mlx-audio v0.4.3 is here 🚀 A massive release across models, server, and DX 🙌🏽 → 6 new TTS models: Higgs Audio v2 (voice cloning), OmniVoice (646+ languages), LongCat-AudioDiT 1B, MOSS-TTS-Nano, Irodori-TTS v2, MeloTTS-English → Mel-Band-RoFormer for vocal source separation → Server: concurrent requests + continuous batching for Qwen3 TTS + client-disconnect handling → Voxtral Realtime: ~3x faster on 4-bit → Parakeet TDT longform perf + Fish Speech S2 Pro batching → Slimmer deps: librosa, soundfile, pyloudnorm, pydub, tiktoken — gone → New MkDocs site + WebM audio support Huge thanks to all 14 contributors and in particular the 8 new contributors, welcome aboard 🚢 Special shout out to the MVPs of this release: @lllucas , @KarnikShreyas and @beshkenadze . Get started today: > uv pip install -U mlx-audio github.com/Blaizzy/mlx-audio▶ Twitter4h ago - X→ OPEN
MOSS-TTS-Nano 🔥 Open TTS that actually run locally from @Open_MOSS Model: huggingface.co/OpenMOSS-Team… Demo: huggingface.co/spaces/OpenMO… ✨ 0.1B - Apache 2.0 ✨ 48kHz stereo ✨ Supports 20 languages▶ Twitter4h ago - X→ OPEN
Latest updates in the Voice AI space 🎉 This could be the week of @pipecat_ai finally with the release of 1.0 version 🙇 as well as releasing a new library Pipecat subagents to create distributed multi-agent services. In the models front we have TTS updates with Gemini 3.1. Flash Preview released, new Speech models from xAI and a tiny opensource MOSS-TTS-Nano model released. If you are interested in 3D generation then take a look at the HY World 2.0 3d model released by Tencent. 🤯 Personally I found interesting the new feature released by Retell AI that are pre-approved SMS numbers as it addresses one of the issues with A2P approvals that I have faced in my own services too. 👏 Good job! And if you have time for some reading I recommend you the paper from Together AI reviewing how very important information like street addresses are still missed by typical ASR models. More news and details in the newsletter as usual 👇. Have a good week!▶ Twitter4h ago - X→ OPEN
MOSS-TTS-Nano MOSS-TTS-Nano 是来自 MOSI. AI 和 OpenMOSS 团队 的开源多语言微型语音生成模型。仅包含 0.1B 参数，专为实时语音生成设计，可直接在 CPU 上运行（无需 GPU），并保持部署栈足够简单，适用于本地演示、网络服务和轻量级产品集成。 github.com/OpenMOSS/MOSS-TTS…▶ Twitter4h ago
// 04
Context
OpenMOSS Team is a research group under the Shanghai Innovation Institution (SII), working in close collaboration with Fudan University and MOSI Intelligence.
- China
- http://openmoss.ai/
- 51 public repos
- 605 followers
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// 05Deep dive
// STARS2.9k—/ 7dJust updated
// FORKS376—/ 7dJust updated
// CONTRIBUTORS5—/ 30dJust updated
Open Issues49
Last Commit13h ago
Latest Release—
// TREND24h07d030d+389
X
Ranked confirmation layer for repo-specific X buzz in the last 24h.
Mentions 24h
40
Authors 24h
37
Engagement
3.1k
Peak hour
16:03
Score
96.3
Meaningful X activity confirmed. 40 matched posts across 37 authors.
Top matched posts
- @berryxia1.0k eng
兄弟们！ MOSS-TTS-Nano 0.1B 多语言TTS直接封神了 纯CPU实时语音生成！无需GPU，部署简单到爆 本地Demo、网页服务、轻量产品秒适配～ MOSS-TTS家族新成员，和1.7B、8B旗舰完美互补！ 20种语言+48kHz Stereo音质拉满，语音克隆直接起飞！ 开源神器get！AI语音本地化时代来了～
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @ModelScope2022425 eng
Say hello to MOSS-TTS-Nano 🚀 0.1B multilingual TTS from MOSI.AI and OpenMOSS. Designed for realtime speech generation without a GPU. Runs directly on CPU, keeping the deployment stack simple enough for local demos, web serving, and lightweight product integration. Part of the MOSS-TTS family alongside the 1.7B and 8B flagship models. 🤖 modelscope.cn/models/openmos… 🌍 modelscope.ai/models/openmos… 💻 github.com/OpenMOSS/MOSS-TTS…
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @TeksEdge390 eng
🚀 New TTS Model: MOSS-TTS-Nano, a Real-time TTS that runs fully on CPU! 💡I'm always looking for good TTS models to run on an average PC (w/o a GPU) and this is one of them. OpenMOSS is a new 0.1B multilingual model: • No GPU needed, pure CPU inference • Real-time speech generation + streaming • 20 languages supported • 48 kHz stereo quality • Ultra-lightweight & easy local/web deployment Huge value for edge devices, local demos, web apps, and lightweight products where GPU isn’t an option. Part of the MOSS-TTS family 👏
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @NFTCPS385 eng
1 亿参数，跑在 CPU 上，实时语音克隆。 复旦 OpenMOSS 团队开源了 MOSS-TTS-Nano，可能是目前最轻量的语音合成模型。 多轻？0.1B 参数，4 核 CPU 就能流式生成，不需要 GPU。 多好？48kHz 采样率，双声道立体声输出，20 种语言支持。 怎么用：给一段参考音频，输入文字，它就能用那个声音说出来。 还有 Web Demo、CLI 工具、API 服务，部署方式随便选。 技术架构是纯自回归 Audio Tokenizer + LLM，配套的 MOSS-Audio-Tokenizer-Nano 只有 2000 万参数，能把 48kHz 立体声压缩到 12.5Hz token 流，0.125kbps 到 2kbps 可变码率。 支持长文本自动分块合成、流式推理低延迟、首包音频快速输出。 这意味着什么： - 树莓派级别的设备就能跑语音合成 - 本地部署零成本，不用调 API 不用付费 - 嵌入到自己的产品里，完全私有化 做语音助手、有声内容、无障碍工具、智能硬件的，这个模型的性价比无敌。 Apache 2.0 开源。 github.com/OpenMOSS/MOSS-TTS…
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @wildmindai243 eng
Well, we’ve seen a lot of cool open-source audio models lately: - VoxCPM2 - OmniVoice - MOSS-TTS-Nano - Audio Flamingo Next And yes, the curated list of open-source TTS, voice cloning, and music gen models just got updated. github.com/wildminder/awesom…
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @Prince_Canuma187 eng
mlx-audio v0.4.3 is here 🚀 A massive release across models, server, and DX 🙌🏽 → 6 new TTS models: Higgs Audio v2 (voice cloning), OmniVoice (646+ languages), LongCat-AudioDiT 1B, MOSS-TTS-Nano, Irodori-TTS v2, MeloTTS-English → Mel-Band-RoFormer for vocal source separation → Server: concurrent requests + continuous batching for Qwen3 TTS + client-disconnect handling → Voxtral Realtime: ~3x faster on 4-bit → Parakeet TDT longform perf + Fish Speech S2 Pro batching → Slimmer deps: librosa, soundfile, pyloudnorm, pydub, tiktoken — gone → New MkDocs site + WebM audio support Huge thanks to all 14 contributors and in particular the 8 new contributors, welcome aboard 🚢 Special shout out to the MVPs of this release: @lllucas , @KarnikShreyas and @beshkenadze . Get started today: > uv pip install -U mlx-audio github.com/Blaizzy/mlx-audio
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @AdinaYakup141 eng
MOSS-TTS-Nano 🔥 Open TTS that actually run locally from @Open_MOSS Model: huggingface.co/OpenMOSS-Team… Demo: huggingface.co/spaces/OpenMO… ✨ 0.1B - Apache 2.0 ✨ 48kHz stereo ✨ Supports 20 languages
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @FeitengLi125 eng
OpenMOSS 开源 MOSS-TTS-Nano，一个 0.1B 参数的多语言 TTS 模型： 1. 纯自回归架构，LLM 管道 + 自研 MOSS-Audio-Tokenizer-Nano（~20M 参数），把 48kHz 立体声压缩到 12.5Hz token 流 2. 原生 48kHz 立体声输出，支持 0.125-2 kbps 可变比特率，16 本码书 RVQ 3.支持 20 种语言，包括中日韩英法德俄阿拉伯语等 4. 4 核 CPU 就能跑流式生成，支持语音克隆 GitHub: github.com/OpenMOSS/MOSS-TTS… Demo: openmoss.github.io/MOSS-TTS-…
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @anarchyco32 eng
Latest updates in the Voice AI space 🎉 This could be the week of @pipecat_ai finally with the release of 1.0 version 🙇 as well as releasing a new library Pipecat subagents to create distributed multi-agent services. In the models front we have TTS updates with Gemini 3.1. Flash Preview released, new Speech models from xAI and a tiny opensource MOSS-TTS-Nano model released. If you are interested in 3D generation then take a look at the HY World 2.0 3d model released by Tencent. 🤯 Personally I found interesting the new feature released by Retell AI that are pre-approved SMS numbers as it addresses one of the issues with A2P approvals that I have faced in my own services too. 👏 Good job! And if you have time for some reading I recommend you the paper from Together AI reviewing how very important information like street addresses are still missed by typical ASR models. More news and details in the newsletter as usual 👇. Have a good week!
mediumphrase4h agoopenMatched through a repo-specific project phrase query.
- @QingQ7731 eng
MOSS-TTS-Nano MOSS-TTS-Nano 是来自 MOSI. AI 和 OpenMOSS 团队 的开源多语言微型语音生成模型。仅包含 0.1B 参数，专为实时语音生成设计，可直接在 CPU 上运行（无需 GPU），并保持部署栈足够简单，适用于本地演示、网络服务和轻量级产品集成。 github.com/OpenMOSS/MOSS-TTS…
mediumphrase4h agoopenReturned by a high-confidence repo query and contains a visible project phrase, but the exact URL, slug, or package name was not visible.