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: 320 GB/s × 0.48–0.72 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 GDDR6, 320 GB/s |
| params | 27B |
| license | gemma |
| price | $450 |
easy run: ollama pull gemma3:27b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ Tesla V100 32GB (used) — cheapest machine that runs it ($645)
→ every model the Tesla T4 (16GB, used) can run — full list
→ tesla-v100-16gb — the next step up from this machine's GPU