Can I run it?
Can I run gemma 4 12b it on GeForce RTX 5060 Ti 8GB?
Tight fit
Tight fit fully on your GeForce RTX 5060 Ti 8GB 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/s
Weights5.94 GB
KV cache0.56 GB
Total6.86 GB
Usable7.13 GB
gemma 4 12b it details · GeForce RTX 5060 Ti 8GB 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, 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%.
- 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 5060 Ti 8GB? — Tight fit, UD-IQ1_M, 35–48 tok/s
- Can I run Qwen3.6 14B A3B FableVibes on GeForce RTX 5060 Ti 8GB? — Tight fit, Q3_K_M, 150–204 tok/s
- Can I run Qwen2.5 14B Instruct on GeForce RTX 5060 Ti 8GB? — Tight fit, Q3_K_S, 35–48 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.