Cerebras Software Platform R1.7 is Out! - Cerebras

This release enables training large language models with sparse weights in PyTorch, providing scripts to convert dense PyTorch checkpoints to sparse versions. It also introduces unique support for 2D segmentation with UNet on images up to 5K x 5K pixels without tiling, and extends PyTorch support for GPT-J and GPT-3 models up to 20B parameters, with up to 1.5x performance improvement for GPT-style models.