AIGemma 4 QAT Lands in Ollama, Cutting Local AI Memory by ~72%
Quantization-aware-trained Gemma 4 weights are now runnable in Ollama, cutting VRAM roughly 72% so a 26B model fits on a 16GB laptop for self-hosted AI.
Dr. Nova Chen★Jun 14, 2026★5 min read
