Gemma-3-27b-it-qat-q4_0-gguf sounds like a Wi-Fi password but it’s Google’s leanest LLM yet

Google is launching new QAT Gemma 3 models, optimized with Quantization-Aware Training (QAT) that will significantly reduce memory requirements while maintaining high quality. After its launch of Gemma 3, Google released a version of Gemma 3 optimized for quantification learning (QAT), which significantly reduces memory requirements while preserving the quality of the model. Specifically, the demand for VRAM of the QAT-optimized Gemma3 27B model…

Gemma-3-27b-it-qat-q4_0-gguf sounds like a Wi-Fi password but it’s Google’s leanest LLM yet

Quantization-aware training allows Google's latest models to run on local GPUs and even mobile devices. The article Gemma-3-27b-it-qat-q4_0-gguf sounds like a Wi-Fi password but it’s Google’s leanest LLM yet appeared first on THE DECODER.

With quantization-optimized variants of the Gemma 3 models, Google brings high-performance AI to consumer GPUs. This is made possible by a special training that gets the model quality even when the calculation precision is greatly reduced. The article Gemma 3: Google brings high-performance AI models to consumer hardware first appeared on THE-DECODER.de.