Steel-LLM is an open-source Chinese large language model trained from scratch on 1 trillion tokens. The project covers the entire pipeline including data collection, data processing, pretraining framework selection, and model architecture design. The model achieves 42 on C-Eval and 36 on CMMLU benchmarks, outperforming larger models from institutional releases.