Artificial intelligenceGoogle Optimizes Gemma 4 Models for Low-Memory Devices
Google has unveiled updated versions of its open-source Gemma 4 models, optimized using quantization-aware training (QAT). This approach significantly reduces the memory footprint required for model execution on devices while maintaining high generation quality. Unlike traditional post-training quantization (PTQ), QAT is integrated directly into the training process, minimizing performance loss and accelerating data processing.
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