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.
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.
Best Compact Language Models on Hugging Face: Overview and Practical Selection
Hugging Face offers dozens of compact language models that run on modest hardware at minimal cost: we've selected the best and showed how to use them.
Hugging Face and NVIDIA Open Source Code for Robot Thinking
Open source code, which accelerated AI development, is now moving into robotics. Hugging Face, NVIDIA, and Alibaba have released tools for training robots to think…
How to compress a language model 3x: a guide to FP8, GPTQ, and SmoothQuant
Hugging Face and ClawHub compromised: malware in hundreds of AI models
Hugging Face sped up LLM inference by 22% with asynchronous batching
Nous Research introduced Lighthouse Attention to accelerate LLM training
GLiGuard by Fastino Labs: a safety model 16x faster than larger competitors
Fastino Labs released the open GLiGuard model for LLM safety checks: just 300M parameters, yet more accurate than models 90 times larger.
5 small open models with tool calling: agents that don't need the cloud
Compact language models can now invoke functions and use tools without cloud services, while remaining open and low-cost.
NVIDIA introduced SPEED-Bench — a unified benchmark for speculative decoding
NVIDIA showed how to fine-tune an embedding model for a specific domain in a day
ServiceNow introduced EVA — a new framework for evaluating voice AI agents
Google Gemma 4 31B reduced to 18.3 GB and run on free Kaggle
Hugging Face and Lambda: how to parse and fine-tune agent reasoning traces
MarkTechPost published a practical guide to the lambda/hermes-agent-reasoning-traces dataset: how to parse agent thoughts, tool calls, create charts, and prepare…
Hugging Face released a Skill for quickly porting Transformers models to MLX
Hugging Face introduced a Skill and a separate test harness to port new models from Transformers to mlx-lm on MLX almost immediately, without a stream of raw…