New Model additions Nemotron 3 Diarization Nemotron 3 Diarization is an open-weight streaming speaker diarization model designed to determine "who spoke when" in real-world audio. It supports both streaming and offline inference, handles up to eight speakers, and orders speaker outputs by each speaker's first arrival in the input audio.
The job page has a new Resources panel next to the logs. While your job runs, it shows live CPU, RAM, GPU and VRAM usage, updated every couple of seconds.
Organizations can now subscribe to Hugging Face with their Google Cloud account. Usage for Inference Providers, Inference Endpoints, Spaces, Jobs, storage, and Team or Enterprise seats will appear on their Google Cloud invoice.
📂 [Cache] Shared blob store: deduplicate Xet files across repos The cache now deduplicates Xet files across repos. A Xet file downloaded through hf_xet is stored once at <CACHE_DIR>/blobs/<prefix>/<xet_hash> and every repo that needs it gets a relative symlink instead of a download: no bytes are transferred and no extra space is used, even across different...
Release v5.17.0 New Model additions HYV4 Hy4-Preview is a 780B-parameter mixture-of-experts language model that activates 49B parameters per token. Each MoE layer holds 256 routed experts plus one always-active shared expert and routes every token to 8 of them. The context window is 1M tokens.
🏷️ Custom labels for Sandboxes Dedicated sandboxes now accept custom labels, attached to the underlying Job. This is useful for cost attribution, bookkeeping, or finding and reconnecting to the sandboxes created by a given controller run. Labels use the same -l / --label KEY=VALUE syntax as hf jobs run .
Releasesby Glyph