CoLLiE provides a complete toolbox for training large language models from scratch, enabling collaborative and efficient distributed training across GPUs and nodes. It integrates with DeepSpeed and PyTorch to handle parallelism, gradient accumulation, and optimization strategies for training LLMs at scale. The project supports various LLM architectures and provides benchmarking utilities for evaluating training efficiency.