Can I run it?
Can I run gemma 4 12b it on GeForce RTX 3070?
Tight fit
Tight fit fully on your GeForce RTX 3070 at IQ4_XS, 4K context, about 31–42 tok/s. Weights 5.94 GB plus 0.56 GB of KV cache — 6.86 GB of 7.13 GB usable.
Best quantIQ4_XS
Working context4K
Max that fits4K
Speed31–42 tok/sEstimate from memory bandwidth, not a benchmark. Method.
Weights5.94 GB
KV cache0.56 GB
Total6.86 GB
Usable7.13 GB
gemma 4 12b it details · GeForce RTX 3070 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/gemma-4-12b-it-GGUF:IQ4_XS -c 4096 -ngl 48
Ollama
ollama run gemma
LM Studio
lms get unsloth/gemma-4-12b-it-GGUF # Then load quant IQ4_XS
Assumptions
- Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
- 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%.
- IQ4_XS 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 4K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on GeForce RTX 3070? — Heavily degraded, UD-IQ1_M, 35–48 tok/s (estimate)
- Can I run Qwen2.5 14B Instruct on GeForce RTX 3070? — Tight fit, Q3_K_S, 35–48 tok/s (estimate)
- Qwen3 14B — Tight fit, UD-IQ3_XXS, 37–50 tok/s (estimate)
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.