Can I run it?
Can I run gemma 4 12b it on GeForce RTX 3060 12GB?
Tight fit
Tight fit fully on your GeForce RTX 3060 12GB at Q6_K, 8K context, about 15–21 tok/s. Weights 9.11 GB plus 0.81 GB of KV cache — 10.3 GB of 10.9 GB usable.
Best quantQ6_K
Working context8K
Max that fits8K
Speed15–21 tok/s
Weights9.11 GB
KV cache0.81 GB
Total10.3 GB
Usable10.9 GB
gemma 4 12b it details · GeForce RTX 3060 12GB page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/gemma-4-12b-it-GGUF:Q6_K -c 8192 -ngl 48
Ollama
ollama run gemma
LM Studio
lms get unsloth/gemma-4-12b-it-GGUF # Then load quant Q6_K
Assumptions
- Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- Q6_K size is the real GGUF file size from Hugging Face.
- 0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
- Speed is quoted at 8K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on GeForce RTX 3060 12GB? — Tight fit, UD-Q2_K_XL, 19–26 tok/s
- Can I run Qwen3.6 35B A3B on GeForce RTX 3060 12GB? — Tight fit, UD-IQ2_XXS, 180–246 tok/s
- Can I run Qwen3.5 35B A3B on GeForce RTX 3060 12GB? — Tight fit, UD-IQ2_XXS, 182–248 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.