Hugging Face

‌Hugging Face (Twitter) RT @osanseviero: We just released SimpleQA Verified on Hugging Face 👀 A 1,000-prompt factuality benchmark designed to evaluate LLM knowledge, with balanced topics, removed bias, more challenging questions, and verified ground truths https://huggingface.co/datasets/google/simpleqa-verified

Hugging Face (Twitter) RT @dylan_ebert_: 🎨 Mesh Palettizer I made a simple tool that converts textured 3D models -> solid-colored using a shared color atlas 🤗 Free and open source: https://huggingface.co/spaces/dylanebert/MeshPalettizer

Hugging Face (Twitter) RT @alexandr_wang: new research from Meta FAIR: Code World Model (CWM), a 32B research model we encourage the research community to research this open-weight model! pass@1 evals, for the curious: 65.8 % on SWE-bench Verified 68.6 % on LiveCodeBench 96.6 % on Math-500 76.0 % on AIME 2024 🧵

Hugging Face (Twitter) RT @LeRobotHF: ✨ New in LeRobot ✨ We now officially support LIBERO, one of the largest open benchmark for Vision-Language-Action (VLA) policies with 130+ tasks 🤯 Why this matters: 🧩 Unified benchmark: evaluate any VLA policy under a common setup. 🛠️ Easy integration: just install lerobot, and you’re ready to run LIBERO tasks. 📊 Baseline condition: LIBERO is now the default benchmark for adding new VLAs to LeRobot. 🔗 Dataset: http://huggingface.co/datasets/HuggingFaceVLA/libero 📚 Docs: https://huggingface.co/docs/lerobot/en/libero This is a huge step toward building the go-to evaluation hub for VLAs. Let’s make robot learning as open and reproducible as NLP & CV. 💪 👉 Try it out today, share your runs, and let’s push forward the frontier of embodied AI together!

Hugging Face (Twitter) RT @alonsosilva: VB @reach_vb from @huggingface presenting the State of Open Weights LLMs - 2025 at @aiDotEngineer#AIEParis

Hugging Face (Twitter) RT @ben_burtenshaw: too much new learning material! we're releasing a few chapters of hard study on post training AI models. it covers all major aspects plus more to come. - Evaluating Large Language models on benchmarks and custom use cases - Preference Alignment with DPO - Fine tuning Vision Language Models for tasks like DocQA and Browser control. - Parameter Efficient Fine Tuning - Supervised Fine-Tuning LLMs release two weeks ago All this material is completely free. It all runs on colab or the hub. And you can get certificates for each chapter of the course!

Hugging Face (Twitter) RT @ClementDelangue: Now #1 - with the holy trinity of trending artefacts that @IBM either led (Docling) or contributed to (finepdfs). DocumentAI is back in fashion! https://twitter.com/ClementDelangue/status/1970225167939879088#m

‌Hugging Face (Twitter) RT @ClementDelangue: Interesting! Weights on HF of course: https://twitter.com/syhw/status/1970960837721653409#m

Hugging Face (Twitter) RT @amir_mahla: LET’S GOOO 🔥 Just released Smol2Operator, a full open-source recipe for turning a 2.2B model into an agentic GUI coder, and all the tools you need to build your own 🫡

Hugging Face (Twitter) RT @HaixuanT: Reachy Mini - Fall Collection

‌Hugging Face (Twitter) RT @AdinaYakup: 3 releases in one day 🤯 just before Alibaba Cloud’s annual conference! @Alibaba_Qwen is on fire 🔥 huggingface.co/Qwen ✨ Qwen3 Omni: End-to-end omni model ✨ Qwen3 TTS: Supports CN/EN/IT/FR + 10 langs ✨ Qwen-Image-Edit-2509: Big upgrade from the previous version Excited to see what’s coming in the next 3 days 👀

Hugging Face (Twitter) RT @Alibaba_Qwen: 🚀 Introducing Qwen3-Omni — the first natively end-to-end omni-modal AI unifying text, image, audio & video in one model — no modality trade-offs! 🏆 SOTA on 22/36 audio & AV benchmarks 🌍 119L text / 19L speech in / 10L speech out ⚡ 211ms latency | 🎧 30-min audio understanding 🎨 Fully customizable via system prompts 🔗 Built-in tool calling 🎤 Open-source Captioner model (low-hallucination!) 🌟 What’s Open-Sourced? We’ve open-sourced Qwen3-Omni-30B-A3B-Instruct, Qwen3-Omni-30B-A3B-Thinking, and Qwen3-Omni-30B-A3B-Captioner, to empower developers to explore a variety of applications from instruction-following to creative tasks. Try it now 👇 💬 Qwen Chat: https://chat.qwen.ai/?models=qwen3-omni-flash 💻 GitHub: github.com/QwenLM/Qwen3-Omni 🤗 HF Models: https://huggingface.co/collections/Qwen/qwen3-omni-68d100a86cd0906843ceccbe 🤖 MS Models: https://modelscope.cn/collections/Qwen3-Omni-867aef131e7d4f 🎬 Demo: https://huggingface.co/spaces/Qwen/Qwen3-Omni-Demo