Orthrus is a hybrid autoregressive‑diffusion model that speeds up language‑model inference by generating multiple tokens in parallel with a frozen autoregressive backbone, claiming lossless speculative decoding through an intra‑model consensus mechanism. The authors independently reproduce Orthrus and evaluate this claim under various numerical precisions, including BF16 inference.