The Hugging Face MCP Server's new hf_fs tool provides a single interface to repositories, storage, documentation, papers and more, with search, in just over 1,000 tokens.
Sandboxes give an assistant secure execution environments attached to buckets and repositories for dataset analysis, model training, and Space creation.
Users see egress usage in the dashboard and organizations get a per-user egress breakdown. It currently covers only traffic routed through the Hugging Face CDN.
The new Space creation page has an option to build with an AI agent: copy the generated command into your agent to build and iterate on a Space for a model, paper, or local folder.
Fine-grained tokens can be created from presets (Read-Only, Inference, Write, CI/CD, Full Access), and preset URLs link straight to a pre-configured token.
Patch release v5.14.1 This patch solves a few issues which appeared when integrating Inkling model, most notably an issue affecting models using EncoderDecoderCache during assisted generation. It also fixes an issue that could appear during prefill with StaticCache and sdpa without padding for Inkling which uses a position_bias.
Release v5.14.0 New Model additions Inkling (fresh from Thinking Machines): 975B total, 41B active Add Inkling model #47347 by @molbap @Cyrilvallez @eustlb and @zucchini-nlp Inkling is a general-purpose multimodal model that accepts text, image and audio inputs and generates text outputs.
Patch release v5.13.1 This patch is focused on enabling transformers for the latest release of vllm! Be more defensive with remap_legacy_layer_types for custom models ( #47245 ) from @hmellor Fix custom code which doesn't know about the new linear layer type names ( #47174 ) from @hmellor Fix case where _LazyAutoMapping.register is passed a str key ( #47148...
Release v5.13.0 New Model additions KimiK 2.5, 2.6, and 2.7 This release includes the architecture for Kimi 2.5 which is used by 2.5-2.7: Kimi K2.5 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.