Gemma 4 on an 2021 4 GB Laptop GPU: QAT Takes It From 9.5 GiB to 1.6

DEV Community·10 points·xbill·20 days ago·dev.to

Step-by-step: running Google's quantization-aware-trained Gemma 4 E2B on a 10th-gen Core i7 laptop with a 4 GB GTX 1650 Ti — why bf16 and int8 cannot fit, why the QAT GGUF does with room to spare, and managing it with an MCP server.

Read the full article at dev.to →

#gemma #qat #laptop #mcp #gpu #gib #qat takes #laptop gpu

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