Training a 3.8B-Parameter Language Model to Achieve 0.384 CORE Score for $998

The article details the training of a 3.8B-parameter language model achieving a CORE score of 0.384 at a cost of $998 using B200 hardware. It highlights efficient training techniques, including a trapezoidal learning rate schedule and FP8 precision, enabling significant cost-effectiveness.

Comments

Read original article