📰 Hugging Face Blog

Rebuilding AUTOMATIC1111 with Gradio Workflow

IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic

NeoMME: an efficient Multimodal-native and Multilingual Encoder

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps

Give Your Coding Agents a Memory You Own

Training a coding model to paint watercolours with TRL and OpenEnv

BenchMIRT: What are LLM benchmarks actually measuring?

Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI

The Open ASR Leaderboard Adds Its First Global South Language

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

Granite 4.2 LLMs: How They're Built

Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original

Wire It, Run It, Deploy It: AI Workflows in Gradio

Measuring benchmark optimization in speech recognition

How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code

Up to 3.2x Faster Inference with LFM2.5-DSpark

LFM2.5 Q4\_0 Checkpoints from Quantization-Aware Distillation

How Much Memory Does Your Agent Actually Need?

Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers

Same Cluster, 33 Points More Utilization: What Changed Was the Order

State of Open Models: Summer 2026 Observations

Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets

What We Learned by Reproducing 2,200 papers from ICML