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No. Gemma 4 26B-A4B (MoE) does not fit on RTX 4060 8GB: Q4_K_M needs 19.6 GB and 7.5 GB is usable.
Hardware: RTX 4060 8GB · Model: Gemma 4 26B-A4B (MoE)
RTX 4060 8GB has 8 GB of VRAM and 272 GB/s of memory bandwidth. 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 26B-A4B (MoE) (25.8B, 3.8B active, Google) at Q4_K_M is a 18 GB download and needs 19.6 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 18 GB |
| Memory needed | 19.6 GB |
| Usable fast memory | 7.5 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run gemma4:26b-a4b-it-q4_K_M |
Smallest hardware that runs it: RTX 3060 12GB at Q4_K_M (partial offload (slower), 19.6 GB needed, 11.5 GB usable, about 14 tok/s (estimate)). Can a RTX 3060 12GB run Gemma 4 26B-A4B (MoE)?
A smaller Google model that fits this hardware: Gemma 3 12B at Q4_K_M (partial offload (slower), 9.8 GB). Can a RTX 4060 8GB run Gemma 3 12B?
Open RTX 4060 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.
A project by OnDevice Labs · llms.txt