can it run
No. 16GB of memory can't hold the 212GB working set this model needs. A smaller quant or a bigger machine is required.
weights 168.9GB + KV cache 2GB at 4k context vs ~16GB usable → no. 170.9 GB vs 16 GB usable — does not fit
computed roofline: 900 GB/s × 0.46–0.76 efficiency window / 25.3GB (Q4_K_M) — bands, never points.
MoE: file is 168.9GB (that decides fit) but only ~82.8B of experts activate per token (~25.3GB streamed) — band below is the active-expert estimate, optimistic; community MoE rows run several× the naive bandwidth math
| model file | 168.9GB (GGUF mixed-Q2) |
| minimum memory | 212GB working set |
| this machine | 16GB HBM2, 900 GB/s |
| params | 552B+196B Engram MoE |
| license | MIT |
| price | $340 |
easy run: no stock runtime yet
→ ASUS ExpertCenter Pro ET900N G3 (GB300) — cheapest machine that runs it ($60000)
→ every model the Tesla V100 (16GB, used) can run — full list
→ RTX 3090 (24GB, used) — upgrade path machine