Hugging Face

Hugging Face (Twitter)

RT @RisingSayak: From the new QwenImage release is:

"🏆 Tested in 10,000+ blind rounds on AI Arena, Qwen-Image-2512 ranks as the strongest open-source image model, while staying competitive with closed-source systems."

Natively supported in Diffusers 🤗

Happy New Year in advance!

Hugging Face (Twitter)

RT @Xianbao_QIAN: Qwen/Qwen-Image-2512: make your image real!

A bit philosophical question: realism generated picture - Is this a feature or a bug? What do you think?

Model available on @huggingface: https://huggingface.co/Qwen/Qwen-Image-2512

Hugging Face (Twitter)

RT @Alibaba_Qwen: 🎁 A New Year gift from Qwen — Qwen-Image-2512 is here.

🚀 Our December upgrade to Qwen-Image, just in time for the New Year.

✨ What’s new:
• More realistic humans — dramatically reduced “AI look,” richer facial details
• Finer natural textures — sharper landscapes, water, fur, and materials
• Stronger text rendering — better layout, higher accuracy in text–image composition

🏆 Tested in 10,000+ blind rounds on AI Arena, Qwen-Image-2512 ranks as the strongest open-source image model, while staying competitive with closed-source systems.

👉 Try it now in Qwen Chat: https://chat.qwen.ai/?inputFeature=t2i
🤗 Hugging Face:  https://huggingface.co/Qwen/Qwen-Image-2512
📦 ModelScope:  https://modelscope.ai/models/Qwen/Qwen-Image-2512
💻 GitHub:  github.com/QwenLM/Qwen-Image
📝 Blog:  https://qwen.ai/blog?id=qwen-image-2512
🤗 Hugging Face Demo: https://huggingface.co/spaces/Qwen/Qwen-Image-2512
📦 ModelScope Demo:...

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‌Hugging Face (Twitter)

RT @HaihaoShen: 🚩4-bit GLM 4.7 model is now available!

Hugging Face (Twitter)

RT @SergioPaniego: As the year comes to an end, it’s a good moment to catch up on some of the best long-form pieces published by the @huggingface team.

I’ve gathered them all here if you want to read or save them for later:
https://huggingface.co/collections/sergiopaniego/research-and-long-form-blog-posts

Hugging Face (Twitter)

RT @ericjing_ai: Got a new toy to play with: Reachy Mini. 😃 @huggingface @Thom_Wolf

Hugging Face (Twitter)

RT @NVIDIAAP: The NVIDIA Nemotron family has crossed 5M downloads on @huggingface 🤗

A massive thank you to the community for your work and enthusiasm.

🏗️ Get started here: nvda.ws/3MPUEZt

Hugging Face (Twitter)

RT @spidermonkeyedc: pov t’es mariée à un mec dans la tech donc tu construis un robot à 1h du mat avec lui

Hugging Face (Twitter)

RT @Ali_TongyiLab: 1/4 We’re releasing MAI-UI—a family of foundation GUI agents. It natively integrates MCP tool use, agent user interaction, device–cloud collaboration, and online RL, establishing state-of-the-art results in general GUI grounding and mobile GUI navigation, surpassing Gemini-2.5-Pro, Seed1.8, and UI-Tars-2 on AndroidWorld.
To meet real-world deployment constrains, MAI-UI includes a full-spectrum of sizes, including 2B, 8B, 32B and 235B-A22B variants. We are publicly releasing two models: MAI-UI-2B and MAI-UI-8B.

Hugging Face (Twitter)

RT @LeRobotHF: Very excited for this, more diverse open source robotic data is crucial! 👀 https://twitter.com/GenrobotAI/status/2005670315528163415#m

Hugging Face (Twitter)

RT @fal: 🎁 New year's gift to the community

We're open-sourcing FLUX.2 [dev] Turbo, our in house distilled version of FLUX.2 🚀

🏆️ #1 ELO open-source image model (on Artificial Analysis arena)
⚡️ Sub-second generation
🧪 Custom variant of DMD2 distillation for max quality

‌Hugging Face (Twitter)

RT @fal: Weights on Hugging Face 🤗

Hugging Face (Twitter)

RT @GenrobotAI: THE LARGEST OPEN-SOURCE EMBODIED AI DATASET IS COMING.🔥🔥🔥

1Wh RealOmni-Open Dataset 🚀🚀🚀
Launching soon on @huggingface

‌Hugging Face (Twitter)

RT @victormustar: WeDLM-8B: a diffusion language model with parallel decoding 👀

🔹Beats Qwen3-8B-Instruct on 5/6 benchmarks
🔹3-6× faster on math reasoning (vs vLLM Qwen3-8B)
🔹Native KV cache & FlashAttention support

https://huggingface.co/tencent/WeDLM-8B-Instruct

Hugging Face (Twitter)

RT @ArtificialAnlys: Naver, a South Korean internet giant, has just launched HyperCLOVA X SEED Think, a 32B open weights reasoning model that scores 44 on the Artificial Analysis Intelligence Index. This model is one of the strongest South Korean models, and outperforms EXAONE 4.0 32B, a previous Korean model leader

Key benchmarking takeaways:

➤ Strength in Agentic Tool Use: HyperCLOVA X SEED Think scores 87% on τ²-Bench Telecom, demonstrating strong performance on agentic tool-use workflows. HyperCLOVA X SEED Think currently ranks among the frontier models in τ²-Bench Telecom, scoring similarly in this category to Gemini 3 Pro Preview
➤ Low token usage: HyperCLOVA X SEED Think demonstrates low token usage relative to other models in the same intelligence tier, using only ~39M reasoning tokens across the Artificial Analysis Intelligence suite. Compared to other Korean models like Motif-2-12.7B (190M reasoning tokens) and Exaone 4.0 32B (96M reasoning...

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