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Hugging Face
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94
Qwen2.5-Omni is soooo good that people build multimodal reasoning models off of it 🥹
> KE-Team/Ke-Omni-R-3B is open-source audio reasoning model sota on average of benchmarks, based on Qwen/Qwen2.5-Omni-3B 🗣️
> Haoz0206/Omni-R1 is a video reasoning model with pixel level grounding (see below) and it's super competitive ⏯️ based on Qwen/Qwen2.5-Omni-7B
> KE-Team/Ke-Omni-R-3B is open-source audio reasoning model sota on average of benchmarks, based on Qwen/Qwen2.5-Omni-3B 🗣️
> Haoz0206/Omni-R1 is a video reasoning model with pixel level grounding (see below) and it's super competitive ⏯️ based on Qwen/Qwen2.5-Omni-7B
hlarcher
updated
a
Space
about 8 hours ago
Post
208
OpenAudio S1-mini 🔊 a new OPEN multilingual TTS model trained on 2M+ hours of data, by FishAudio
fishaudio/openaudio-s1-mini
✨ Supports 14 languages
✨ 50+ emotions & tones
✨ RLHF-optimized
✨ Special effects: laughing, crying, shouting, etc.
fishaudio/openaudio-s1-mini
✨ Supports 14 languages
✨ 50+ emotions & tones
✨ RLHF-optimized
✨ Special effects: laughing, crying, shouting, etc.
- 1 reply
Post
672
NEW: Real-time conversational AI models can now run 100% locally in your browser! 🤯
🔐 Privacy by design (no data leaves your device)
💰 Completely free... forever
📦 Zero installation required, just visit a website
⚡️ Blazingly-fast WebGPU-accelerated inference
Try it out: webml-community/conversational-webgpu
For those interested, here's how it works:
- Silero VAD for voice activity detection
- Whisper for speech recognition
- SmolLM2-1.7B for text generation
- Kokoro for text to speech
Powered by Transformers.js and ONNX Runtime Web! 🤗 I hope you like it!
🔐 Privacy by design (no data leaves your device)
💰 Completely free... forever
📦 Zero installation required, just visit a website
⚡️ Blazingly-fast WebGPU-accelerated inference
Try it out: webml-community/conversational-webgpu
For those interested, here's how it works:
- Silero VAD for voice activity detection
- Whisper for speech recognition
- SmolLM2-1.7B for text generation
- Kokoro for text to speech
Powered by Transformers.js and ONNX Runtime Web! 🤗 I hope you like it!
- 1 reply
[FEEDBACK] Inference Playground
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41
#1 opened 9 months ago
by
victor
Post
630
We have been working on a project called
We plan to give kernels a more proper introduction soon. But for those who have been following along, we are happy to announce a new release:
- New layer API with
- Experimental support for loading Apple Silicon Metal 🤘 Kernels.
- Generate wheels from Hub kernels for legacy deployments.
Full release notes here: https://github.com/huggingface/kernels/releases/tag/v0.6.0
kernels. kernels makes it possible to load compute kernels directly from the Hub! 🚀We plan to give kernels a more proper introduction soon. But for those who have been following along, we are happy to announce a new release:
- New layer API with
torch.compile support.- Experimental support for loading Apple Silicon Metal 🤘 Kernels.
- Generate wheels from Hub kernels for legacy deployments.
Full release notes here: https://github.com/huggingface/kernels/releases/tag/v0.6.0
Post
849
Past week was insanely packed for open AI! 😱
Luckily we picked some highlights for you ❤️ lfg!
💬 LLMs/VLMs
> Deepseek 🐳 released deepseek-ai/DeepSeek-R1-0528, 38B model, only 0.2 and 1.4 points behind o3 in AIME 24/25 🤯 they also released an 8B distilled version based on Qwen3 (OS) deepseek-ai/deepseek-r1-678e1e131c0169c0bc89728d
> Xiaomi released MiMo-7B-RL (LLM for code and math) and MiMo-VL-7B-RL (VLM for visual reasoning, GUI agentic task and general use) (OS) 😍 XiaomiMiMo/mimo-vl-68382ccacc7c2875500cd212
> NVIDIA released , new reasoning model nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
> DS: MiniMax released https://huggingface.co/MiniMaxAI/SynLogic, new 49k logical reasoning examples across 35 tasks including solving cipher, sudoku and more!
🖼️ Image/Video Generation
> tencent released tencent/HunyuanPortrait, a new model for consistent portrait generation with SVD Research license. They also released tencent/HunyuanVideo-Avatar, audio driven avatar generation (OS)
> showlab released showlab/OmniConsistency, consistent stylization model (OS)
> Rapidata/text-2-video-human-preferences-veo3 is a new T2V preference dataset based on videos from Veo3 with 46k examples (OS)
Audio🗣️
> https://huggingface.co/ResembleAI/Chatterbox is a new 500M text-to-speech model preferred more than ElevenLabs (OS) 😍
> PlayHT/PlayDiffusion is a new speech editing model (OS)
Other
> https://huggingface.co/NX-AI/TiReX is a new time series foundation model
> Yandex released a huge (4.79B examples!) video recommendation dataset https://huggingface.co/yandex/yambda
OS ones have Apache2.0 or MIT licenses, find more models and datasets here merve/releases-30-may-6840097345e0b1e915bff843
Luckily we picked some highlights for you ❤️ lfg!
💬 LLMs/VLMs
> Deepseek 🐳 released deepseek-ai/DeepSeek-R1-0528, 38B model, only 0.2 and 1.4 points behind o3 in AIME 24/25 🤯 they also released an 8B distilled version based on Qwen3 (OS) deepseek-ai/deepseek-r1-678e1e131c0169c0bc89728d
> Xiaomi released MiMo-7B-RL (LLM for code and math) and MiMo-VL-7B-RL (VLM for visual reasoning, GUI agentic task and general use) (OS) 😍 XiaomiMiMo/mimo-vl-68382ccacc7c2875500cd212
> NVIDIA released , new reasoning model nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
> DS: MiniMax released https://huggingface.co/MiniMaxAI/SynLogic, new 49k logical reasoning examples across 35 tasks including solving cipher, sudoku and more!
🖼️ Image/Video Generation
> tencent released tencent/HunyuanPortrait, a new model for consistent portrait generation with SVD Research license. They also released tencent/HunyuanVideo-Avatar, audio driven avatar generation (OS)
> showlab released showlab/OmniConsistency, consistent stylization model (OS)
> Rapidata/text-2-video-human-preferences-veo3 is a new T2V preference dataset based on videos from Veo3 with 46k examples (OS)
Audio🗣️
> https://huggingface.co/ResembleAI/Chatterbox is a new 500M text-to-speech model preferred more than ElevenLabs (OS) 😍
> PlayHT/PlayDiffusion is a new speech editing model (OS)
Other
> https://huggingface.co/NX-AI/TiReX is a new time series foundation model
> Yandex released a huge (4.79B examples!) video recommendation dataset https://huggingface.co/yandex/yambda
OS ones have Apache2.0 or MIT licenses, find more models and datasets here merve/releases-30-may-6840097345e0b1e915bff843
Post
556
AReaL-boba² 🔥 A fully async RL system by Ant Research & Tsinghua.
Paper: AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning (2505.24298)
Model:
inclusionAI/areal-boba-2-683f0e819ccb7bb2e1b2f2d5
✨ 8B/14B/32B models, datasets & paper – all on the hub
✨ 2.77× faster training
✨ Native Agentic RL support
Paper: AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning (2505.24298)
Model:
inclusionAI/areal-boba-2-683f0e819ccb7bb2e1b2f2d5
✨ 8B/14B/32B models, datasets & paper – all on the hub
✨ 2.77× faster training
✨ Native Agentic RL support
Post
827
Yesterday was the day of vision language action models (VLAs)!
> SmolVLA: open-source small VLA for robotics by Hugging Face LeRobot team 🤖
Blog: https://huggingface.co/blog/smolvla
Model: lerobot/smolvla_base
> Holo-1: 3B & 7B web/computer use agentic VLAs by H Company 💻
Model family: Hcompany/holo1-683dd1eece7eb077b96d0cbd
Demo: https://huggingface.co/spaces/multimodalart/Holo1
Blog: https://huggingface.co/blog/Hcompany/holo1
super exciting times!!
> SmolVLA: open-source small VLA for robotics by Hugging Face LeRobot team 🤖
Blog: https://huggingface.co/blog/smolvla
Model: lerobot/smolvla_base
> Holo-1: 3B & 7B web/computer use agentic VLAs by H Company 💻
Model family: Hcompany/holo1-683dd1eece7eb077b96d0cbd
Demo: https://huggingface.co/spaces/multimodalart/Holo1
Blog: https://huggingface.co/blog/Hcompany/holo1
super exciting times!!
Post
642
If you didn't yet, you should read the technical report for SmolVLA, published yesterday by the Hugging Face robotics team!
➡️ Amongst other ideas, it introduces "Async inference" to boost their robot actions.
Robots have a problem: performing the actions takes time (Unlike agents where action executions are near-instant!)
Most often, robots wait until they've finished performing actions to start thinking about hte next steps. This is a huge latency cost!
So the team decided to have the PolicyServer (aka the"thinking" part) restart early : instead of waiting for the n observations they just sent to be completed, they gather the observations after k < n steps, and start preparing the next actions based on that while the steps are running until n, to directly send their next steps.
➡️ This boosted robot throughput by ~30%! (nearly 2× tasks per time window).
gg @cadene and team! 👏
Report here: SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics (2506.01844)
➡️ Amongst other ideas, it introduces "Async inference" to boost their robot actions.
Robots have a problem: performing the actions takes time (Unlike agents where action executions are near-instant!)
Most often, robots wait until they've finished performing actions to start thinking about hte next steps. This is a huge latency cost!
So the team decided to have the PolicyServer (aka the"thinking" part) restart early : instead of waiting for the n observations they just sent to be completed, they gather the observations after k < n steps, and start preparing the next actions based on that while the steps are running until n, to directly send their next steps.
➡️ This boosted robot throughput by ~30%! (nearly 2× tasks per time window).
gg @cadene and team! 👏
Report here: SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics (2506.01844)
[Feedback] Hugging Face x Google Colab
❤️
🤗
2
#22 opened 1 day ago
by
reach-vb
lysandre
updated
a
dataset
1 day ago
ariG23498
updated
a
dataset
1 day ago
derekl35
updated
a
dataset
1 day ago
Post
1052
The Gradio x Agents x MCP hackathon keeps growing! We now have more $1,000,000 in credit for participants and and >$16,000 in cash prizes for winners.
We've kept registration open until the end of this week, so join and let's build cool stuff together as a community: ysharma/gradio-hackathon-registration-2025
We've kept registration open until the end of this week, so join and let's build cool stuff together as a community: ysharma/gradio-hackathon-registration-2025
Upload EU policy files
#17 opened 2 days ago
by
frimelle
Upload EU policy files
#17 opened 2 days ago
by
frimelle
Post
212
This is the story of how open source AI created a $3M business for a news company:
Clare Spencer tells on the GAIN blog how a Danish software engineer found OpenAI's Whisper model and turned it into Good Tape. It's now generating $3M ARR for news service Zetland.
Great playbook on how to build a good product:
- This idea came from a software engineer, Jakob Steinn, who was not only able to spot a new model, but also listen to feedback from his colleagues in the newsrooms (he thought they would use it for translation, but they were more interested in transcription in Danish)
- They built iteratively: they went from running the model in the terminal to a notebook to a full-fledged web interface
- They didn't just wrap the API. They rebuilt the transcription engine from scratch, moved it to TPUs for 45-second processing of hour-long audio, and added EU-based data sovereignty
Now Good Tape has 2.5M users worldwide, with only 30-35% being journalists.
Small languages (Danish, Finnish, Croatian, Hebrew) were underserved by existing tools - suddenly there's a "very very big market" when you put them together.
This shows how open source AI can solve real workflow problems and create sustainable businesses. Sometimes the best opportunities emerge from solving your own daily problems.
Worth a read: https://generative-ai-newsroom.com/how-a-danish-news-service-made-a-profit-with-its-transcription-tool-285bc05b7cf9
Clare Spencer tells on the GAIN blog how a Danish software engineer found OpenAI's Whisper model and turned it into Good Tape. It's now generating $3M ARR for news service Zetland.
Great playbook on how to build a good product:
- This idea came from a software engineer, Jakob Steinn, who was not only able to spot a new model, but also listen to feedback from his colleagues in the newsrooms (he thought they would use it for translation, but they were more interested in transcription in Danish)
- They built iteratively: they went from running the model in the terminal to a notebook to a full-fledged web interface
- They didn't just wrap the API. They rebuilt the transcription engine from scratch, moved it to TPUs for 45-second processing of hour-long audio, and added EU-based data sovereignty
Now Good Tape has 2.5M users worldwide, with only 30-35% being journalists.
Small languages (Danish, Finnish, Croatian, Hebrew) were underserved by existing tools - suddenly there's a "very very big market" when you put them together.
This shows how open source AI can solve real workflow problems and create sustainable businesses. Sometimes the best opportunities emerge from solving your own daily problems.
Worth a read: https://generative-ai-newsroom.com/how-a-danish-news-service-made-a-profit-with-its-transcription-tool-285bc05b7cf9
Update EU policy responses
#16 opened 2 days ago
by
frimelle
Post
315
H Company released Holo-1: 3B and 7B GUI Action Vision Language Models for various web and computer agent tasks 🤗
Holo-1 has Apache 2.0 license and transformers support from day-0 🔥
> Read the blog: https://huggingface.co/blog/Hcompany/holo1
> Model repositories: Hcompany/holo1-683dd1eece7eb077b96d0cbd
Holo-1 has Apache 2.0 license and transformers support from day-0 🔥
> Read the blog: https://huggingface.co/blog/Hcompany/holo1
> Model repositories: Hcompany/holo1-683dd1eece7eb077b96d0cbd