Google releases Gemma 4 QAT models for local AI on enterprise laptops
6 juin 2026 à 22:51
Google has launched Gemma 4 QAT, a series of open-weights models optimized for local execution on hardware with limited memory. These models utilize Quantization-Aware Training to simulate lower-precision calculations during the training phase, which preserves output quality even when the model files are heavily compressed. The release includes a 12B parameter version specifically designed to run on standard enterprise laptops equipped with 16GB of RAM or unified memory.