Releases

Answer.AI and Hugging Face released ModernBERT, a modernized encoder-only model family for retrieval and classification workloads.

Hugging Face released SmolVLM, a compact 2B vision-language model designed to run with very low memory.

Hugging Face detailed a new storage and transfer architecture using Xet’s content-defined chunking to accelerate large repository operations.

Hugging Face released the second generation of its 135M, 360M, and 1.7B compact language models with stronger instruction following.

Gradio 5 introduced redesigned application theming, stronger security defaults, and improved AI app development workflows.

Hugging Face launched HUGS, optimized zero-configuration deployment containers for open generative models.

The LeRobot community introduced the SO-100, a low-cost open robot arm design for data collection and imitation learning.

Accelerate reached its 1.0 release-candidate milestone after becoming a core distributed-compute layer in the Hugging Face ecosystem.

Hugging Face released IDEFICS3, a more efficient multimodal architecture that became the basis for the SmolVLM family.

Hugging Face acquired XetHub to bring content-defined chunking, deduplication, and high-performance storage to large AI repositories.

Hugging Face released compact fully open language models at 135M, 360M, and 1.7B parameter scales.

Hugging Face refreshed the Open LLM Leaderboard with a harder, contamination-resistant suite and new scoring methodology.

Hugging Face acquired Argilla, an open-source platform for human and synthetic data curation and model feedback.

Hugging Face released FineWeb-Edu, an educationally filtered subset that showed strong gains for small-model pretraining.

Hugging Face released FineWeb, a 15-trillion-token filtered and deduplicated English web dataset for language-model pretraining.

Microsoft and Hugging Face expanded their collaboration around open models, Azure AI, and enterprise deployment experiences.

Hugging Face launched LeRobot to bring open models, datasets, policies, and reproducible tooling to real-world robotics.

Hugging Face released IDEFICS2, an 8B visual-language model with stronger OCR, document, and visual reasoning capabilities.

BigCode released StarCoder2 models at 3B, 7B, and 15B scales in collaboration with ServiceNow and NVIDIA.

Hugging Face and Google Cloud announced a strategic partnership integrating the Hub with Google Cloud infrastructure, Vertex AI, and TPUs.

Pollen Robotics launched Reachy 2, an open-source humanoid robot platform later brought into Hugging Face through its acquisition of Pollen.

Hugging Face released a production-grade server for serving text embedding and reranking models.

Hugging Face H4 released an improved Zephyr 7B beta model trained on expanded public and synthetic preference data.

Hugging Face H4 released an aligned 7B chat model trained with distilled direct preference optimization.

Hugging Face released Candle, a minimalist Rust framework for fast and portable machine learning.