Releases

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

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

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

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.

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

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

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

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 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 IDEFICS, an 80B open-access visual-language model supporting sequences of images and text.

BigCode released StarCoder, a 15.5B-parameter code model trained on permissively licensed code from The Stack.

BigScience released BLOOMZ and mT0, instruction-finetuned multilingual models derived from BLOOM and the xP3 task collection.

The BigScience workshop released BLOOM, a 176-billion-parameter multilingual language model trained on the Jean Zay supercomputer.

Hugging Face released DistilBERT, a smaller and faster distilled BERT model retaining most of the teacher model’s language-understanding performance.