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OpenBMB (Open Lab for Big Model Base) is an open-source initiative aimed at building a comprehensive ecosystem for large-scale pre-trained language models. It provides a full suite of tools covering data processing, model training, fine-tuning, compression, and inference, significantly reducing the cost and technical barriers of working with billion-parameter models. The framework includes specialized tools like BMTrain for efficient training, BMCook for model compression, BMInf for low-cost inference, OpenPrompt for prompt learning, and OpenDelta for parameter-efficient fine-tuning. OpenBMB fosters a collaborative community to standardize and democratize large model development and application. (OpenBMB（大模型开源基础实验室）是一个旨在构建大规模预训练语言模型生态系统的开源项目。它提供了一套覆盖数据处理、模型训练、微调、压缩和推理全流程的工具链，显著降低了百亿参数模型的使用成本和技术门槛。该框架包含BMTrain（高效训练）、BMCook（模型压缩）、BMInf（低成本推理）、OpenPrompt（提示学习）和OpenDelta（参数高效微调）等专用工具。OpenBMB致力于通过开源社区协作，推动大模型的标准化、普及化和实用化。)