Open-dLLM is a diffusion-based large language model focused on code generation. It releases the full stack including pretraining code, evaluation benchmarks, inference tools, and model checkpoints (such as Open-dCoder 0.5B). The project also supports representation alignment, a technique that adapts autoregressive LMs into diffusion LMs with a reported 4x speedup, based on their published arXiv paper.