Hugging Face

Hugging Face (Twitter) RT @UnslothAI: You can now train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss). Train gpt-oss locally on 12.8GB VRAM. In collab with @HuggingFace, Unsloth trains DeepSeek, Qwen3, GLM faster. Repo: github.com/unslothai/unsloth Blog: https://unsloth.ai/docs/new/faster-moe

Hugging Face (Twitter) RT @MistralAI: Introducing Mistral AI's biggest hackathon ever! 📅 Feb 28 - Mar 1 🌍 Paris | London | NY | SF | Tokyo | Singapore | Sydney & online 48 hours. The best hackers. 🤝 Partners: @wandb@nvidia@awscloud@HackIterate 🏆 $200K in prizes. Special awards from @elevenlabsio@huggingface@JUmp@whitecircle@supercell Link in 🧵

Hugging Face (Twitter) RT @lancedb: 1/6 OpenVid-1M in Lance format shows what’s possible when videos, metadata, embeddings, and indexes live in the same dataset. ~938K videos, inline blobs, prebuilt indexes — all queryable directly on the 🤗@huggingface Hub. 🧵👇

Hugging Face (Twitter) RT @xenovacom: After nearly a year of development, 🤗 Transformers.js v4 Preview is finally out on npm! npm i @huggingface/transformers@next Build WebGPU-accelerated AI applications that run everywhere: browsers, Node.js, Bun, Deno, Electron, and more. See what's new in our blog post 👇

Hugging Face (Twitter) RT @vanstriendaniel: Datasets and benchmarks drive AI progress, but finding papers that introduce new ones means digging through thousands of arXiv abstracts. Updated the Dataset Papers on ArXiv app to surface them: 52K+ papers classified as introducing new datasets from 212K CS papers. Semantic search, confidence filtering, updated weekly (using @huggingface Jobs!) Powered by a fine-tuned ModernBERT classifier. Full dataset stored in @lancedb Lance format on the Hub, with vector embeddings stored with the dataset.

‌Hugging Face (Twitter) Check out our changelog for more information huggingface.co/changelog

Hugging Face (Twitter) We have been shipping 🛳️❤️ 📦 Community Evals & Benchmark Datasets: Benchmark datasets host benchmark leaderboards, you can now contribute eval results by opening a PR to model repositories, all PRs are fed to benchmark datasets 📦 Chat with datasets: agents live in Data Studio, you can ask questions about datasets 📦 Select sections in datasets: Data Studio now has a spreadsheet-like UX, allowing quick selections 📦 MLX compatibility: Find hardware compatible for MLX models and quantized versions in model repositories 📦 You can now save blog drafts and access them from the editor 📖 📦 Datasets now support LanceDB format 📦 Model repositories show snippets for SGLang

‌Hugging Face (Twitter) Read the blog: 📖

Hugging Face (Twitter) We just shipped Community Evals and Benchmark repositories for decentralized evals 🤗 > Scores you and model authors report are on leaderboards 🙌🏻 > Benchmark datasets host live leaderboards of reported results 🚀 > You can open PRs to add scores, they live in model repositories. Community Evals will expose scores currently distributed across model cards, papers, and benchmarks. It won’t solve the differences in scores, but it is transparent!

Hugging Face (Twitter) RT @hf_status: Hub website is back! Thanks a lot for your patience 🤗

Hugging Face (Twitter) RT @mervenoyann: agents are now running @huggingface dataset viewers 🤯

Hugging Face (Twitter) RT @intern_lm: 🚀Introducing Intern-S1-Pro, an advanced 1T MoE open-source multimodal scientific reasoning model. 1⃣SOTA scientific reasoning, competitive with leading closed-source models across AI4Science tasks. 2⃣Top-tier performance on advanced reasoning benchmarks, strong general multimodal performance on various benchmarks. 3⃣1T-A22B MoE training efficiency with STE routing (dense gradient for router training) and grouped routing for stable convergence and balanced expert parallelism. 4⃣Fourier Position Encoding (FoPE) + upgraded time-series modeling for better physical signal representation; supports long, heterogeneous time-series (10^0–10^6 points). 😍Intern-S1-Pro is now supported by vLLM @vllm_project and SGLang @sgl_project@lmsysorg — more ecosystem integrations are on the way. ☺️Model：@huggingface https://huggingface.co/internlm/Intern-S1-Pro ☺️GitHub: https://github.com/InternLM/Intern-S1 ☺️Try it now at: chat.intern-ai.org.cn