4 papers
Prime Collective Communications Library -- Technical Report
Michael Keiblinger, Mario Sieg, Jack Min Ong +2
This report presents the Prime Collective Communications Library (PCCL), a novel fault-tolerant collective communication library designed for distributed ML workloads over the publ…
INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning
Prime Intellect Team, Sami Jaghouar, Justus Mattern +11
We introduce INTELLECT-2, the first globally distributed reinforcement learning (RL) training run of a 32 billion parameter language model. Unlike traditional centralized training…
INTELLECT-1 Technical Report
Sami Jaghouar, Jack Min Ong, Manveer Basra +9
In this report, we introduce INTELLECT-1, the first 10 billion parameter language model collaboratively trained across the globe, demonstrating that large-scale model training is n…
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
Sami Jaghouar, Jack Min Ong, Johannes Hagemann
OpenDiLoCo is an open-source implementation and replication of the Distributed Low-Communication (DiLoCo) training method for large language models. We provide a reproducible imple…