LLaDA 8B Base is an unconventional thinker — it generates text by masking and predicting tokens rather than predicting them left-to-right like most language models. This diffusion-based approach means it reasons about the whole output simultaneously, which can produce surprisingly coherent completions but also behaves differently from autoregressive models developers are used to. It's a research-oriented base model, so expect rough edges and minimal instruction-following out of the box.