Hugging Face Blog
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
NVIDIA opens Nemotron datasets: 10 trillion tokens for training AI agents
NVIDIA released the Nemotron datasets with 10+ trillion tokens and 2.4 billion synthetic personas to train AI agents on real-world scenarios and tool failures.
Hugging Face: transformers backend in vLLM now runs at native speed
Hugging Face announced performance parity: the `--model-impl transformers` flag delivers native vLLM speed across 450+ architectures without rewriting code.
SkyPilot and Hugging Face launched storage with no egress fees
The SkyPilot and Hugging Face Storage integration makes it possible to train models on any cloud while storing weights and datasets at $12-18/TB/month with no egress fees.
Microsoft launched Foundry Managed Compute: thousands of Hugging Face models with one click
Microsoft combined Azure Foundry with the Hugging Face catalog: thousands of open models now deploy in the cloud with one click, with enterprise security and unified billing.
LeRobot v0.6.0 from Hugging Face: robots learn to predict the future and evaluate themselves
Hugging Face released LeRobot v0.6.0 with world-model policies, reward models for task self-assessment, and six new benchmarks — completing the full robot learning cycle.
Hugging Face Updates Kernels: Trusted Publishers, Code Signing, and Agentic Development
On July 6, 2026, Hugging Face released a major Kernels update: kernels became a separate repository type on Hub, trusted publishers and code signing via Sigstore were added.
Hugging Face and Cerebras launch Gemma 4 for real-time voice AI
Hugging Face and Cerebras unveiled an open speech-to-speech pipeline on Gemma 4 with predictable latencies — the system is already used in more than 9,000 Reachy Mini robots.
Hugging Face compares all LoRA alternatives: who wins at fine-tuning LLMs
The Hugging Face team tested five PEFT methods for fine-tuning LLMs — from DoRA to GaLore — and found out when LoRA can be beaten, and exactly what it costs.
ServiceNow: AI agent leaks corporate secrets through a chain of search queries
ServiceNow researchers have shown that a deep-research agent unintentionally exposes corporate secrets — each query is harmless on its own, but the whole chain forms a mosaic.
PaddleOCR releases PP-OCRv6: text recognition in 50 languages from 1.5 to 34.5 million parameters
PP-OCRv6 from Baidu PaddlePaddle: a universal OCR system for 50 languages in three configurations ranging from 1.5 to 34.5 million parameters, with an accuracy gain of +4.6-5.1 percentage points over the previous server
Hybrid models predict content words better than transformers — Allen AI study
Allen AI compared the OLMo 3 and OLMo Hybrid architectures: hybrid models predict nouns, verbs, and adjectives more accurately, but lag behind transformers on repetitive text spans.
Hugging Face: launch a vLLM server on HF Jobs with a single command
Hugging Face has added vLLM support to the HF Jobs platform: a production-ready inference server for any model from the Hub can now be deployed with a single CLI command.
AllenAI Releases olmo-eval — A Platform for Evaluating LLMs During Training
AllenAI released olmo-eval, an open toolkit for continuous evaluation of language models throughout the training cycle — checkpoint by checkpoint.
Cohere Presents North Mini Code — Model for Developers and AI Agents
Cohere released North Mini Code — a 30-billion-parameter model specifically trained on programming and AI agent work. The model is free and available to everyone.
Voice agents not ready for bilingual customers. ServiceNow-AI research
Voice agents perform poorly with bilingual clients. This was shown by research from the ServiceNow-AI team, which tested seven popular speech recognition systems on examples of code-switching — when…
How to Speed Up PyTorch Models: A Practical Guide to torch.profiler
Hugging Face explained torch.profiler, a built-in PyTorch tool for analyzing performance. It helps identify bottlenecks in model training and inference.
Hugging Face Enables TRL to Deliver Trillion Parameters Through Delta Weights
Hugging Face added Delta Weight Sync to TRL — a technique that sends only weight changes instead of full files, reducing data volume by hundreds of times when training giant models.
Reachy Mini Learns to Speak Locally Without the Cloud
The Reachy Mini humanoid robot can now run a full speech recognition stack locally without cloud or API, thanks to open models from Hugging Face.
IBM and Artificial Analysis create benchmark: AI agents fail at IT tasks
Large language models scored less than 50% on the new ITBench-AA benchmark for assessing AI agents' ability to solve corporate IT tasks. This shows that full automation of IT work remains a distant future.
NVIDIA Nemotron: Diffusion Models Generate Text 6x Faster
NVIDIA introduced Nemotron-Labs Diffusion — the first language models that generate text in parallel instead of sequentially. In speculative mode, they run 6× faster than conventional models thanks to the diffusion appro
How a Small Model Beat GPT-5 and Claude Opus at Portuguese OCR
Dharma AI trained a 3-billion-parameter specialized model that outperformed all commercial frontier models in text recognition tests and beat them in price by 52 times.
Hugging Face launched Open Agent Leaderboard to evaluate AI agents
Hugging Face introduced an open benchmark for comparing full AI agent systems. It found that agent architecture matters more than the model chosen.
PaddleOCR 3.5 Gains Support for Hugging Face Transformers
PaddleOCR has been updated with full support for Hugging Face Transformers as an inference backend. Text recognition and document parsing now work in a PyTorch environment.
NVIDIA Shows Efficient Method to Train Cosmos for Robot Video Generation Using LoRA
NVIDIA released a guide for fine-tuning Cosmos Predict 2.5 using LoRA/DoRA—a parameter-efficient adaptation method that enables robot video generation training in 17 hours on a single GPU.
Ettin Reranker from Hugging Face: 6 Models for Precise Search Reranking
Hugging Face released 6 Ettin rerankers based on ModernBERT with state-of-the-art accuracy and speed thanks to Flash Attention 2 and sequence optimization.
OlmoEarth v1.1: Allen AI Releases Satellite Models 3 Times Cheaper
Allen AI presented a more efficient version of models for analyzing satellite imagery, reducing computational costs by 3 times while maintaining quality.
How Allen AI's model learned to discover expert specialization on its own
Allen AI introduced EMO, a mixture-of-experts model that naturally develops domain specialization (health, politics, film) without explicit training on those categories.
CyberSecQwen-4B: how a small model became a vulnerability expert
The specialized 4-billion-parameter cybersecurity model outperforms general-purpose competitors in vulnerability analysis and runs locally on personal hardware without cloud services.
OncoAgent: AI system for early cancer detection based on private patient data
How a machine learning algorithm helps doctors make decisions on cancer diagnosis without compromising patient confidentiality
Hugging Face sped up LLM inference by 22% with asynchronous batching
Parallel CPU and GPU processing instead of sequential processing cut GPU idle time by 24% and sped up token generation by nearly a quarter without changing the model.