Translated data: The team led by Bo Xing proposes the LLM360 comprehensive open-source initiative, aimed at addressing the transparency issues of large language models. The framework includes training data, code, model checkpoints, and performance metrics. The released AMBER and CRYSTALCODER offer substantial experiences and lessons. This initiative is expected to encourage more researchers to participate, driving continuous innovation in the field of artificial intelligence.