2 citations · 2 across the 4 of their papers we have counts for
4 papers
Optimal Scaling Needs Optimal Norm
Oleg Filatov, Jiangtao Wang, Jan Ebert +1
Despite recent progress in optimal hyperparameter transfer under model and dataset scaling, no unifying explanatory principle has been established. For Adam and Scion optimizers, w…
Memory and Bandwidth are All You Need for Fully Sharded Data Parallel
Jiangtao Wang, Jan Ebert, Oleg Filatov +1
Transformer models have revolutionized a wide spectrum of disciplines, especially in language processing. The recent success has proven that model size scalability is crucial for a…
Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limit
Oleg Filatov, Jan Ebert, Jiangtao Wang +1
One of the main challenges in optimal scaling of large language models (LLMs) is the prohibitive cost of hyperparameter tuning, particularly learning rate and batch size . W…
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs
Mehdi Ali, Michael Fromm, Klaudia Thellmann +38
We present two multilingual LLMs, Teuken 7B-base and Teuken 7B-instruct, designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European U…