Google Gemma shows DiffusionGemma extracting scores via vLLM templates
AIGoogle Gemma says DiffusionGemma can be turned into a Jev-like model by seeding a canvas with a response template in vLLM. The approach extracts confidence scores and probability distributions for yes/no, multiple-choice, and scored questions in a single denoising step.






