Hugging Face
Hugging Face is the GitHub of machine learning — the platform hosting millions of open models, datasets and demos. Its Transformers library and open leaderboards made it the center of gravity for open-source AI. All our Hugging Face coverage lives on this page.

Simple Diffusion: compact model 100 times cheaper than SDXL
A team created a diffusion model sdxs-1b (training $600K vs SDXL $6M), runs on consumer GPUs with quality close to SDXL.

Tencent Open-Sourced LLM Hy3 with 295 Billion Parameters
Tencent released LLM Hy3 under Apache 2.0 license — a model with 295 billion parameters (21 billion active) with 256K context, competing with much larger open…

NVIDIA and Hugging Face Expand LeRobot with New Models and Frameworks
NVIDIA and Hugging Face updated the open robotics library LeRobot, adding new machine learning models and frameworks for robot development and training.

Microsoft launched Foundry Managed Compute: thousands of Hugging Face models with one click

LeRobot v0.6.0 from Hugging Face: robots learn to predict the future and evaluate themselves

Small Language Models in Agents: Five Use Cases Reshaping AI System Architecture

Hugging Face Updates Kernels: Trusted Publishers, Code Signing, and Agentic Development

Fine-tuning Gemma-3 on Mathematics Using GRPO and LoRA Adapters
A step-by-step GRPO workflow for fine-tuning Gemma-3 on the GSM8K dataset—from environment setup and LoRA adapters to reward functions and final model export.

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…

PaddleOCR releases PP-OCRv6: text recognition in 50 languages from 1.5 to 34.5 million parameters

ServiceNow: AI agent leaks corporate secrets through a chain of search queries

Hugging Face compares all LoRA alternatives: who wins at fine-tuning LLMs

Google released Gemma 4 12B: 150 million downloads, runs on a laptop with 16 GB of VRAM

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.

AgentTrove: how to use the 1.7M agent trace dataset in Python
AgentTrove is the largest open dataset of agent interaction traces: 1.7 million examples in ShareGPT format. A Python tutorial shows how to stream the data…









