RT @sudoingX: A year ago, this wasn't possible on a single consumer GPU. Today, it's easily possible, and I'm still a little overwhelmed
Google has released Gemma 4 checkpoints optimized for quantization-aware training (QAT) on Hugging Face. This advancement allows for more efficient model deployment, a feat that was not possible on a single consumer GPU a year ago. The development signifies a significant leap in making advanced AI models more accessible and performant on standard hardware. AI
IMPACT Enables more efficient deployment of AI models on consumer hardware, accelerating accessibility and development.