// RUN โ€” FITS

Can the NVIDIA GeForce RTX 5090 run OpenELM-1.1B?

Yes โ€” here's how fast and up to what context, with real measured numbers.

OpenELM-1.1B on the NVIDIA GeForce RTX 5090

QuantFits?Max contextSpeedBeyond context
FP16 yes 393k 605.6-721.8 t/s ~13.5-16.1 (slow)
Q8 yes 410k 1211.3-1443.6 t/s ~27-32.2 (slow)
Q4 yes 417k 2163-2577.8 t/s ~48.3-57.5 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.

FAQ

Can the NVIDIA GeForce RTX 5090 run OpenELM-1.1B?โ–ถ

Yes. At Q4 it generates ~2163-2577.8 tok/s and fits up to 417k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~48.3-57.5 tok/s.

How much context fits?โ–ถ

At Q4, up to about 417k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.