Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency
We’re releasing Gemma 4 quantization-aware training checkpoints, reducing memory requirements and improving on-device performance.
RTX 3050 with 16gb of RAM and up now seem to be very usable, mainly with unsloths 26B A4B.
https://blog.google/innovation-and-ai/technology/developers-tools/quantization-aware-training-gemma-4/Open linkView original on mbin.potato-guy.space18
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