can it run
No. 16GB of memory can't hold the 82GB working set this model needs. A smaller quant or a bigger machine is required.
weights 65GB + KV cache 0.28GB at 4k context vs ~16GB usable → no. 65.3 GB vs 16 GB usable — does not fit
computed roofline: 900 GB/s × 0.46–0.76 efficiency window / 9.8GB (Q4_K_M) — bands, never points.
MoE: file is 65GB (that decides fit) but only ~18B of experts activate per token (~9.8GB streamed) — band below is the active-expert estimate, optimistic; community MoE rows run several× the naive bandwidth math
| model file | 65GB (GGUF Q4_K_M) |
| minimum memory | 82GB working set |
| this machine | 16GB HBM2, 900 GB/s |
| params | 120B MoE |
| license | apache-2.0 |
| price | $340 |
easy run: ollama pull gpt-oss:120b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ NIMO AI Mini PC (128GB) — cheapest machine that runs it ($1999)
→ every model the Tesla V100 (16GB, used) can run — full list
→ RTX 3090 (24GB, used) — upgrade path machine