We are releasing Carbon: a crazy fast DNA model Carbon is 275x faster than the next best model. So fast you can process the whole human genome on a single GPU in <2 days. We built a demo so you can explore how the model can generate DNA sequences and a lot more: huggingface.co/spaces/Huggi...

Introducing OpenR1-Math-220k! huggingface.co/datasets/ope... The community has been busy distilling DeepSeek-R1 from inference providers, but we decided to have a go at doing it ourselves from scratch 💪 More details in 🧵

open-r1/OpenR1-Math-220k · Datasets at Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co

We are reproducing the full DeepSeek R1 data and training pipeline so everybody can use their recipe. Instead of doing it in secret we can do it together in the open! Follow along: github.com/huggingface/...

GitHub - huggingface/open-r1: Fully open reproduction of DeepSeek-R1

Fully open reproduction of DeepSeek-R1. Contribute to huggingface/open-r1 development by creating an account on GitHub.

github.com

We outperform Llama 70B with Llama 3B on hard math by scaling test-time compute 🔥 How? By combining step-wise reward models with tree search algorithms :) We're open sourcing the full recipe and sharing a detailed blog post 👇

Hey ML peeps, we found a nice extension to beam search at Hugging Face that is far more scalable and produces more diverse candidates The basic idea is to split your N beams into N/M subtrees and then run greedy node selection in parallel Does anyone know what this algorithm is called?