Hugging Face
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Hugging Face (Twitter)

RT @cohere: Introducing Command A Reasoning, our most advanced model for enterprise reasoning tasks.
Hugging Face (Twitter)

RT @AdinaYakup: Intern-S1-mini 🔥 lightweight open multimodal reasoning model by @intern_lm

https://huggingface.co/internlm/Intern-S1-mini

Efficient 8B LLM + 0.3B vision encoder
Apache 2.0
5T multimodal pretraining, 50%+ in scientific domains
Dynamic tokenizer for molecules & protein sequences
Hugging Face (Twitter)

RT @ggerganov: llama.cpp is on fire today!

It's amazing to see this open-source collaboration getting stronger every day
Hugging Face (Twitter)

RT @Tu7uruu: Here is a minimal Voxtral finetuning repo (with 🤗 Transformers and PEFT).
Hugging Face (Twitter)

RT @yshan783399: We are thrilled to introduce the Seed-OSS family of open-source LLMs, developed by ByteDance's Seed Team.

GitHub: https://github.com/ByteDance-Seed/seed-oss
HuggingFace: https://huggingface.co/collections/ByteDance-Seed/seed-oss-68a609f4201e788db05b5dcd

Feel free to try it out and share your feedback!
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Hugging Face (Twitter)

RT @DRoboticsDev: 🚀 Kudos to our dev community! We’ve supercharged the LeRobot ACT Policy embodied AI algorithm on the @huggingface open-source robotic arm SO-101, running on D-Robotics' RDK dev board with BPU’s powerful 128 TOPS! Watch it seamlessly grasp and organize objects, showcasing end-to-end acceleration at its finest! 🤖

#Robotics #OpenSource #HuggingFace #EmbeddedAI #BPU #LeRobot #Innovation
Hugging Face (Twitter)

RT @multimodalart: Qwen Image LoRAs are growing fast up on the @huggingface Hub, and now they can be inferenced them via @FAL on the API or directly via the model page
Hugging Face (Twitter)

RT @cgeorgiaw: 🔥 The future of science just dropped.

Shanghai AI Lab just unveiled Intern-S1, a scientific multimodal foundation model that is transforming how we discover molecules and reason about the natural world.

It's beating o3 and Gemini-Pro, too 😲

A quick breakdown 🧵
Hugging Face (Twitter)

RT @thibaudfrere: 🎉 New chapter: just started at @huggingface!

Excited to help science teams bring their ML research to life through interactive demos and visualizations.

Ready to dive in!
Hugging Face (Twitter)

RT @abidlabs: Thanks to Saba from the XetHub team at @huggingface, Trackio now supports logging images. Again, completely for free!

What should we add next?
Hugging Face (Twitter)

RT @thibaudfrere: 🚀 First week at @huggingface: shipped improvements to The Ultra Scale Playbook!

Dark mode
Some mobile responsiveness
Performance fixes

Your complete guide to scaling #LLMs in 2025 👇 https://huggingface.co/spaces/nanotron/ultrascale-playbook
Hugging Face (Twitter)

RT @romainhuet: You know you’ve been deep in open model collabs with @huggingface when 🤗 is still the top emoji on your keyboard!
Hugging Face (Twitter)

RT @ClementDelangue: We don’t give nearly enough credit to the people and organizations who build and share open AI datasets.

In fact, I’d argue they matter even more than open models:
- they’re foundational, enabling hundreds of different models
- they remove not only technical but also legal bottlenecks for democratization of AI building
- their impact usually lasts longer, since datasets are less tied to the latest training fad.

Let’s celebrate the teams who are sharing open datasets today. Who are your favorite ones? https://twitter.com/gui_penedo/status/1958913881281069119#m