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No. Gemma 4 31B does not fit on RTX 3060 Ti 8GB: Q4_K_M needs 22.5 GB and 7.5 GB is usable.
Hardware: RTX 3060 Ti 8GB · Model: Gemma 4 31B
RTX 3060 Ti 8GB has 8 GB of VRAM and 448 GB/s of memory bandwidth. RTX 3070 8GB has the same memory and bandwidth, so the fit numbers match; this page is RTX 3060 Ti 8GB. The checker holds back 0.5 GB of VRAM for the driver and assumes 16 GB of system RAM, so fast memory usable by Ollama is 7.5 GB. Partial offload may also use 60% of that system RAM. Gemma 4 31B (31.3B, Google) at Q4_K_M is a 20 GB download and needs 22.5 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 20 GB |
| Memory needed | 22.5 GB |
| Usable fast memory | 7.5 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run gemma4:31b-it-q4_K_M |
Smallest hardware that runs it: RTX 4060 Ti 16GB at Q4_K_M (partial offload (slower), 22.5 GB needed, 15.5 GB usable, about 4 tok/s (estimate)). Can a RTX 4060 Ti 16GB run Gemma 4 31B?
A smaller Google model that fits this hardware: Gemma 3 12B at Q4_K_M (partial offload (slower), 9.8 GB). Can a RTX 3060 Ti 8GB run Gemma 3 12B?
Open RTX 3060 Ti 8GB in the checkerEstimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
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