Releases

Hugging Face raised $235 million in a Series D led by Salesforce Ventures at a $4.5 billion post-money valuation, with participation from major cloud and semiconductor companies.

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

Hugging Face launched managed training and deployment offerings in AWS Marketplace, simplifying enterprise procurement and use on AWS.

NVIDIA and Hugging Face announced a partnership to connect Hub developers with NVIDIA DGX Cloud for training and tuning generative AI models.

Hugging Face introduced Collections for curating and sharing related models, datasets, Spaces, and papers.

Hugging Face launched a daily research-paper discovery feed connected to community profiles, models, datasets, and discussions.

Hugging Face launched an open and reproducible benchmark leaderboard for comparing community language models.

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

Hugging Face launched HuggingChat, an open-source conversational interface initially powered by an OpenAssistant model.

AWS and Hugging Face announced a strategic collaboration to make generative AI more accessible and optimize Transformers training and deployment on AWS infrastructure.

Hugging Face expanded its organization offering with team and enterprise plans for private repositories, access control, governance, and support.

Hugging Face released Parameter-Efficient Fine-Tuning tools for adapting large models with methods such as LoRA.

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

The BigCode project released The Stack, a large permissively licensed source-code dataset with tools for governance and opt-out.

Hugging Face launched managed, autoscaling dedicated endpoints for deploying models from the Hub.

Hugging Face released Text Generation Inference, a production server optimized for large-language-model generation.

Diffusers added first-class support for Stable Diffusion, enabling local and hosted generation workflows around the newly released open model.

Hugging Face launched its enterprise platform around Private Hub, secure collaboration, governance, deployment, and organizational support.

Hugging Face launched Private Hub as a secure and compliant platform for organizations to collaborate on models, datasets, and applications.

Hugging Face released Transformer Reinforcement Learning tooling for post-training language models with supervised, preference, and reinforcement-learning methods.

Hugging Face launched Diffusers, an open-source library providing modular pipelines for diffusion-based generative models.

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

Hugging Face launched Evaluate as a unified framework for model and dataset evaluation.

Hugging Face raised $100 million in Series C funding led by Lux Capital at a reported $2 billion post-money valuation.

Hugging Face introduced browser previews and automatic processing for datasets hosted on the Hub.