Q4_K_M · 4K context

Gemma 4 12B 11.95B dense model · estimated Q4_K_M memory about 8GB

A single 11.95B parameter dense model supports 256K (262,144) native contexts. High-speed standalone operation is possible in 16GB~24GB GPU and Mac environments.

Estimated Q4_K_M memory
about 8GB
total parameters
11.95B
active parameter
11.95B
native context
256K

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Matching devices 55· 5 shown

RTX 5060 Ti 16GB

Comfortable fit · Q4_K_M · Headroom 7.0GB

₩2,239,360

47.6 ~ 52.7 tok/s

Mac mini M4 Pro 24GB

Comfortable fit · Q4_K_M · Headroom 12.0GB

₩2,650,000

27.8 ~ 30.9 tok/s

Mac mini M5 Pro 24GB

Comfortable fit · Q4_K_M · Headroom 12.0GB

₩2,990,000

31.3 ~ 34.8 tok/s

RTX 5070 Ti 16GB

Comfortable fit · Q4_K_M · Headroom 7.0GB

₩3,022,355

91.4 ~ 104.1 tok/s

Mac mini M4 Pro 48GB

Comfortable fit · Q4_K_M · Headroom 33.0GB

₩3,035,000

27.8 ~ 30.9 tok/s

Price is the range midpoint, with a basic host added for GPU-only prices. Speed is an estimate for the same model and 4K input.

Running Guide

Gemma 4 12B Local Serving Run Recipe

Selecting a device changes the quantization, safety context, GPU offload, Flash Attention, KV cache, and batch start values.

Speed tuning for each device

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You can first narrow down the model configurations based on budget, noise level, operating system and whether it's acceptable used.