LMFlow is a Python-based extensible toolkit for fine-tuning and inference of large foundation models. It provides a user-friendly interface for customizing training pipelines, processing datasets, and serving models for inference. Built on PyTorch with support for distributed training, it targets researchers and developers working with large language models.