Sign in to Hugging Face with your fingerprint, face, screen lock or security key instead of your password. Passkeys also work as a second factor, alongside your authenticator app. Add one in your Authentication settings.
Changelog
Keep track of latest changes on the Hugging Face Hub
The Models and Datasets pages can now be filtered by author, for example huggingface.co/models?author=mistralai. A card above the filters shows whose repos you're browsing, and it stays while you filter by task, size, library, license, etc.
It's accessible from any user or organization profile: the new filter button right before the Sort options, opens the filtered page from there.
The tensor viewer now loads much faster on large sharded models. When you open a model's model.safetensors.index.json, the Hub sends the headers of all shards in a single request, so your browser no longer fetches each shard one by one. For example, DeepSeek-V3.2 now loads in 0.45s instead of 9.2s, GLM-5.3 in 0.57s instead of 4.0s, and Qwen2.5-72B-Instruct in 0.27s instead of 1.2s.
Fine-grained access tokens and service account tokens can now be granted a new contributor permission. A token with it can create repositories in your account or in the organizations you select, and gets full write access to the repositories it created itself. It can't write to any other repository, even ones you or your other tokens created.
This is useful for CI/CD pipelines, training jobs and agents that publish new checkpoints or datasets: they no longer need write access to every repository in the namespace. It works like the contribute-repos scope already available to OAuth apps.
Decision models now have their own decision-model tag, with a dedicated icon on model pages and a filter in the Misc section of the Models page. GGUF decision models are tagged automatically from their llama.cpp metadata, so new conversions are picked up as soon as they're uploaded.









