// RUN โ€” FITS

Can the NVIDIA GeForce RTX 3080 10GB run OpenELM-3B?

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

OpenELM-3B on the NVIDIA GeForce RTX 3080 10GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 25k 91.3-108.8 t/s ~4.8-5.7 (slow)
Q8 yes 71k 182.5-217.5 t/s ~9.6-11.4 (slow)
Q4 yes 92k 325.9-388.4 t/s ~17.2-20.4 (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 3080 10GB run OpenELM-3B?โ–ถ

Yes. At Q4 it generates ~325.9-388.4 tok/s and fits up to 92k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~17.2-20.4 tok/s.

How much context fits?โ–ถ

At Q4, up to about 92k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.