Nemotron-Labs-Diffusion

NVIDIA released Nemotron-Labs-Diffusion, a single model that eliminates the need for a separate draft model in speculative decoding, achieving 6.82 accepted tokens per forward pass in self-speculation…

Diffusion Language Models (dLLMs) offer a faster alternative to autoregressive LLMs by generating multiple tokens in parallel, but face consistency challenges. Recent innovations like DFlash, Diffusio…

NVIDIA released Nemotron-Labs-Diffusion, a tri-mode language model that unifies autoregressive, diffusion, and self-speculation decoding within a single architecture. The model, trained with a joint A…