huggingface-accelerate

What problem does it solve?

This Skill simplifies the process of adding distributed training capabilities to PyTorch scripts, making it easier to leverage multiple GPUs or machines for faster model training.

Core Features & Use Cases

• Unified API: Supports DeepSpeed, FSDP, Megatron, and DDP with a single API.
• Automatic Configuration: Handles device placement, mixed precision (FP16/BF16/FP8), and sharding automatically.
• Quick Prototyping: Enables rapid experimentation with distributed training setups.
• Use Case: You have a PyTorch script that trains a model on a single GPU. With just a few lines of code and a single command, you can scale this script to train on multiple GPUs or even multiple nodes, significantly reducing training time.

Quick Start

Run your PyTorch training script with distributed support by executing 'accelerate launch your_script.py'.