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lerobot worldwide hackathon has started! australia, japan, south-korea and benin are in! 🔥

Kicking of our #AIPlumbers event in Berlin with Vaibhav (VB) Srivastav of Hugging Face showing demoes of some of the GenAI use cases that Hugging Face is using internally - a real "eat your own dog food" approach. Some of the examples are very sophisticated, join us - lu.ma/vqx423ct.

Community choices, perfectionism overhaul and the locally run demo - Xuan-Son Nguyen demonstrating how vision was added to llama.cpp, the obstacles and the clever hacks. Still work to do - go try it on Hugging Face Spaces (of course) and contribute to llama.cpp

IN: video fine-tuning support for AI at Meta's V-JEPA 2 in HF transformers 🔥 it comes with > fine-tuning notebook > four models fine-tuned on Diving48 and SSv2 dataset > FastRTC demo on V-JEPA2 SSv2 (see below) we're looking forward to see fine-tuned V-JEPA2 models on Hub ⏯️

Apple in design guideline: accessiblity, no overuse Apple in reality: no accessiblity, overuse

Things can go wild in Paris

What an elegant UI 😍

save r/LocalLlama

Congrats on the exciting release! The new architecture changes to the model are definitely interesting and will be fun to play with. Admirations for the community initiative to build on-device products. Looking forward to many people joining the challenge!

Gemma 3n has arrived in llama.cpp 👨‍🍳 🍰 Comes in 2 flavors: E2B and E4B (E means "effective/active parameters")

hugging face on apple watch - gotta know what’s trending, NOW!

🚀 friday afternoon funtime: quickly shipped a tool to explore different plasma boundaries 🌟one more step towards achieving fusion! 🔗 huggingface.co/spaces/proxima…

github.com/ggml-org/llama…

Got a new friend. I name him "LLaPin" 😁

Trying out LFM2 350M from Liquid AI and was mind-blown 🤯 The responses were very coherent. Less hallucinations compared to models of the same size. Very well done!! The best part: Q4_K_M quantization is just 230 Megabytes, wow!

llama.cpp go brrrrr