Hugging Face

Latest AI news, models and releases from Hugging Face. ['Diffusers', 'GLM 5.2', 'LeRobot v0.6.0', 'Nunchaku Lite', 'qwen3-32b', 'Qwen/Qwen3-4B', 'Qwen/Qwen3.5-122B-A10B', 'Qwen/Qwen3.5-4B', 'SmolLM', 'SmolLM2-1.7B', 'SmolLM3', 'SmolLM3 3B', 'SmolLM3-3B', 'SmolVLM-256M', 'TinyLlama', 'tokenizers', 'Transformers v4', 'Transformers v5', 'TRL', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english', 'Xenova/whisper-tiny.en']

Official site ↗

Research 🇺🇸

Every Eval Ever Results Now on Hugging Face Model Pages

The EEE (Every Eval Ever) project, launched by the EvalEval Coalition, standardizes AI evaluation reporting using a unified JSON schema. Now integrated with Hugging Face Community Evals, it enables cross-linking between model pages and full evaluation records, with over 229,000 results from 31 formats already collected.

Hugging Face

Run AI Workloads on Any Cloud with Hugging Face Storage: Zero-Egress via SkyPilot

Hugging Face and SkyPilot have partnered to allow AI workloads to run on any cloud while storing models and datasets on Hugging Face Hub with zero egress fees. Users can mount a Hugging Face Bucket or Hub repo into a SkyPilot job via a single hf:// URL and launch it on any GPU cluster across 20+ clouds, Kubernetes, Slurm, or on-prem. The new store: hf backend uses FUSE mounts for lazy reading, Xet-backed deduplication for checkpoints, and no egress charges for data reads.

Hugging Face

Hugging Face blog27.07 · 05:03

Show more ↓