can it run
No. 16GB of memory can't hold the 22GB working set this model needs. A smaller quant or a bigger machine is required.
weights 17GB + KV cache 1.94GB at 4k context vs ~16GB usable → offload-partial. 18.9 GB vs 16 GB usable — partial CPU offload, expect large speed loss
computed roofline: 448 GB/s × 0.46–0.76 efficiency window / 17.0GB (Q4_K_M) — bands, never points.
| model file | 17GB (GGUF Q4_K_M) |
| minimum memory | 22GB working set |
| this machine | 16GB GDDR7, 448 GB/s |
| params | 27B |
| license | gemma |
| price | $480 |
easy run: ollama pull gemma3:27b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ Tesla V100 32GB (used) — cheapest machine that runs it ($700)
→ every model the RTX 5060 Ti 16GB can run — full list
→ rtx-5070-ti — the next step up from this machine's GPU
Amazon ↗ · Amazon ↗ (affiliate)