Releases

Transformers added support for running llama.cpp GGUF quantized models within the library’s model-definition and inference workflows.

Hugging Face released Tokenizers v1, a major milestone for its Rust-based tokenization stack.

NVIDIA entered a definitive agreement to acquire Hugging Face for $12.9303 billion. The companies said Hugging Face would retain its brand, platform, open-source commitments, and multi-cloud, multi-accelerator approach pending closing.

HF Jobs added exposed-port workflows for running private services such as OpenAI-compatible vLLM servers directly on Hugging Face compute.

Hugging Face launched mutable, Xet-backed S3-like Storage Buckets for checkpoints, logs, traces, and intermediate AI data.

Transformers v5 entered release candidate with simplified model definitions, standardized attention interfaces, and support for more than 400 architectures.

The core Hugging Face Hub Python client reached v1.0 with a redesigned hf CLI, httpx networking, and Xet-based file transfers.

Hugging Face discontinued HUGS model-deployment containers and directed users toward enterprise collections and other deployment paths.

The launch of HF Jobs established an on-demand compute layer alongside the Hub’s storage, collaboration, and inference products.

Hugging Face launched pay-per-use compute jobs that run scripts and containers on CPUs and GPUs directly through the hf CLI.

Hugging Face and Pollen Robotics launched Reachy Mini, a compact open-source desktop robot aimed at developers, researchers, and educators.

Hugging Face released a fully open 3B multilingual model with 128K context, switchable reasoning, tool use, and a disclosed training recipe.

Hugging Face and NVIDIA introduced a managed service for research organizations to access large GPU clusters for foundation-model training.

Hugging Face released SmolVLA, a 450M vision-language-action model trained for affordable, open robotic manipulation.

Hugging Face began broad deployment of Xet-based storage and transfers across Hub repositories, bringing deduplication and faster large-file operations.

LeRobot introduced the SO-101, a refined low-cost open robot arm for collecting demonstrations and training robotic policies.

Hugging Face acquired Pollen Robotics, maker of Reachy robots, to accelerate its open-source robotics strategy and connect physical hardware with the LeRobot ecosystem.

Hugging Face reported that Gradio had reached one million monthly users, reflecting its adoption for open AI demos and applications.

Hugging Face released SmolVLM2 at 256M, 500M, and 2.2B parameters with support for video understanding as well as images and text.

Hugging Face launched a unified inference layer that lets developers call models across multiple providers through one API and billing experience.

Hugging Face launched Open R1 to openly reproduce and extend the data, training, and evaluation pipeline behind reasoning models.

Hugging Face released a 500M vision-language model for low-memory multimodal inference.

Hugging Face released a 256M vision-language model small enough for highly constrained devices while supporting image-and-text tasks.

Text Generation Inference added a multi-backend architecture supporting vLLM and TensorRT-LLM alongside its native backend.

Hugging Face released smolagents, a lightweight open-source framework for tool-using and code-executing AI agents.