Apple has recently introduced a new series of open-source language models known as OpenELM. These models are designed to be more efficient, requiring 2x fewer pre-training tokens and fewer parameters compared to existing models like OLMo, with which they perform on par. OpenELM also features an open-source training and inference framework, and is capable of layer-wise scaling to efficiently allocate parameters in its transformer model. Additionally, the series includes OpenELM Instruct, which has been described as solid and well-aligned. Apple's advancements in AI are highlighted by their ability to support MLX out of the box and the release of these models as part of their ongoing AI development.