can it run
No. 24GB 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 ~22GB usable → no. 170.9 GB vs 22 GB usable — does not fit
computed roofline: 273 GB/s × 0.25–0.65 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 | 24GB unified LPDDR5X (18-core CPU / 5,120-core GPU base config) |
| params | 552B+196B Engram MoE |
| license | MIT |
| price | $2599.99 |
easy run: no stock runtime yet
→ ASUS ExpertCenter Pro ET900N G3 (GB300) — cheapest machine that runs it ($60000)
→ rtx-5090 — the next step up from this machine's GPU