Gemma‑4 31B‑IT Assistant: Draft Model for Fast Multimodal Generation

The **google/gemma-4-31B-it-assistant** model is the Multi‑Token Prediction (MTP) drafter for the 31‑billion‑parameter Gemma‑4 instruction‑tuned model. It extends the base Gemma‑4 model with a smaller, faster draft network that can predict several tokens ahead. When paired with the target Gemma‑4 model in a speculative decoding pipeline, the draft model verifies those tokens in parallel, delivering up to 2× decoding speedups while preserving the exact quality of standard generation. This makes the checkpoint ideal for low‑latency and on‑device applications.

Gemma‑4 is a family of open multimodal models from Google DeepMind, supporting text, image, video (and audio on the smaller E2B/E4B variants). The 31B version offers a 256K token context window, multilingual support for over 140 languages, and strong capabilities in reasoning, coding, and function‑calling. Although the assistant drafter itself does not perform the final verification, it inherits the same "any-to-any" pipeline tag and works seamlessly with the Transformers library via the `assistant_model` argument in `generate`.

The repository provides ready‑to‑use code snippets for loading both the target model (`google/gemma-4-31B-it`) and its assistant drafter, handling multimodal inputs (images, video, and—on smaller models—audio) and enabling the optional reasoning mode via the `<|think|>` token. With Apache‑2.0 licensing, the model can be deployed on a range of hardware from high‑end phones to servers, democratizing access to state‑of‑the‑art AI while keeping inference costs low.

Overall, the Gemma‑4 31B‑IT Assistant is notable for its role in speculative decoding, its open‑weights multimodal design, and its focus on delivering fast, high‑quality generation for a broad set of tasks, from chat and coding assistance to visual understanding.