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Mount Hub repos directly into any cloud job with no egress fees. Use hf:// URLs and HF_TOKEN to run on 20+ clouds.

IBM Research launches ScarfBench, an open benchmark evaluating AI agents on cross-framework Java migration, revealing configuration and runtime dependencies as top hurdles.

Hugging Face has revamped its Kernels project with a new repository type, improved security, revamped CLIs, broader framework support, and foundations for agentic kernel development.

NVIDIA and Hugging Face team up to bring distributed diffusion training to any Diffusers-format model on the Hub, with no checkpoint conversion and full support for LoRA and full fine-tuning.

The EvalEval Coalition and Hugging Face integrate structured evaluation results into model pages, making scores traceable and comparable.

A humanoid robot gave Jensen Huang a leather jacket. But the real story is about its dishwashing skills.

LeRobot v0.6.0 introduces world model policies that imagine the future, new VLAs, unified reward models, six new benchmarks, and faster data loading.

We assembled PRX's pre-training data from public and internal sources, re-captioned images with a VLM, and built a streamable corpus for training.

Despite newer architectures, DharmaOCR outperformed Mistral OCR4 and Unlimited-OCR on Brazilian Portuguese through domain specialization and targeted training.

Unauthorized access to internal datasets and credentials was detected. No evidence of tampering with public models or supply chain.

NVIDIA's new Nemotron 3 Embed collection, led by an 8B model that ranks #1 on the RTEB leaderboard, delivers state-of-the-art retrieval quality and production-ready deployment options for RAG, agentic retrieval, and code search.

The transformers modeling backend for vLLM now achieves native-level inference speed for many LLM architectures, letting model authors use their existing code without porting.

New benchmark from Hume AI rates voice models on listening, expression, and response quality using over 1 million human evaluations.