can it run
No. 11GB of memory can't hold the 18GB working set this model needs. A smaller quant or a bigger machine is required.
weights 14GB + KV cache 0.19GB at 4k context vs ~11GB usable → no. 14.2 GB vs 11 GB usable — does not fit
computed roofline: 484 GB/s × 0.28–0.50 efficiency window / 2.1GB (Q4_K_M) — bands, never points.
MoE: file is 14GB (that decides fit) but only ~3B of experts activate per token (~2.1GB streamed) — band below is the active-expert estimate, optimistic; community MoE rows run several× the naive bandwidth math
| model file | 14GB (GGUF Q4_K_M) |
| minimum memory | 18GB working set |
| this machine | 11GB GDDR5X, 484 GB/s |
| params | 20B MoE |
| license | apache-2.0 |
| price | $150 |
easy run: ollama pull gpt-oss:20b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ Tesla V100 32GB (used) — cheapest machine that runs it ($700)
→ every model the GTX 1080 Ti (11GB, used) can run — full list
→ RTX 3090 (24GB, used) — upgrade path machine