Accelerate 1.0.0
3.5 years ago, Accelerate was a simple framework aimed at making training on multi-GPU and TPU systems easier
by having a low-level abstraction that simplified a raw PyTorch training loop:
Since then, Accelerate has expanded into a multi-faceted library aimed at tackling many common problems with
large-scale training and large models in an age where 405 billion parameters (Llama) are the new language model size. This involves:
- A flexible low-level training API, allowing for training on six different hardware accelerators (CPU, GPU, TPU, XPU, NPU, MLU) while maintaining