‌Hugging Face (Twitter)

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

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 @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 @alonsosilva: VB @reach_vb from @huggingface presenting the State of Open Weights LLMs - 2025 at @aiDotEngineer #AIEParis

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: https://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 @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 @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 @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 @alexandr_wang: Please check out the technical report, model weights, and code:

➡️ Read the technical report:

➡️Download the open weights: huggingface.co/facebook/cwm

➡️Download the code: https://github.com/facebookresearch/cwm

Hugging Face (Twitter)

RT @Xianbao_QIAN: The most underrated open source TTS FireRedTTS2 from Rednote has now released the official demo on @huggingface to try out.

Model & Demo link below:

Hugging Face (Twitter)

RT @ClementDelangue: We need better agent evaluations! Glad to have collaborated with @Meta Super Intelligence Lab to release Gaia2 and ARE!

GPT5 (high) from @OpenAI is leading on execution, search, ambiguity, adaptability and noise.

Kimi-K2 from @Kimi_Moonshot is leading open weight.

Full blogpost: huggingface.co/blog/gaia2

Hugging Face (Twitter)

RT @NVIDIAAIDev: 🎊1M reasons to celebrate.👏

Our developer community has taken NVIDIA Cosmos Reason to more than 1M downloads on @huggingface & the top spot on the Physical Reasoning Leaderboard.

Join developers using Cosmos Reason to teach AI agents and robots to think like humans:

⚡ Get started with Cosmos Reason 1 NIM, an easy-to-use microservice for AI model deployment: https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/cosmos-reason1-7b?version=1

📈 See the leaderboard: https://huggingface.co/spaces/facebook/physical_reasoning_leaderboard

Hugging Face (Twitter)

RT @maximelabonne: We're releasing a collection of tiny task-specific models 🥳

Want to do data extraction, translation, RAG, tool use, or math on a Raspberry Pi? We got you covered! ✅

Here are a few examples ↓