A 1.5B parameter Discrete Diffusion Language Model (dLLM) optimized for parallel token prediction. Trained during foundational pre-training phase on general text corpora.
Summary
DiffReaper-Talk uses a Transformer-based discrete diffusion architecture to predict multiple tokens in parallel. This approach avoids the sequential bottleneck of standard autoregressive generation.
