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12.4
TFLOPS
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1
Yusuf Akhan
K0D3IN
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Google releases Gemma 4 QAT. โจ You can now run Gemma 4 at 3x less memory with near original performance. QAT makes it possible to run Gemma 4 26B-A4B on 16GB RAM. GGUFs: https://huggingface.co/collections/unsloth/gemma-4-qat QAT Guide: https://unsloth.ai/docs/models/gemma-4/qat
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Gemma 4 12B can now run locally on just 8GB RAM via Dynamic GGUFs. Google's new model, Gemma 4 12B Unified supports image, audio and 256K context. You can run and train the model via Unsloth Studio. GGUF: https://huggingface.co/unsloth/gemma-4-12b-it-GGUF Guide: https://unsloth.ai/docs/models/gemma-4
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