Comment on: Google Gemma 4 12B

16GB VRAM for text, vision, and audio without separate encoders is a big deal for anyone building local AI tools. most multimodal setups eat half your memory just loading the encoder stack before you even start doing anything useful. curious how this compares to gemma 26B in real-world tasks though... benchmarks say "close" but close can mean very different things depending on what you're actually building with it