// RUN โ€” FITS

Can the NVIDIA DGX Spark run OpenELM-3B?

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

OpenELM-3B on the NVIDIA DGX Spark

QuantFits?Max contextSpeedBeyond context
FP16 yes 1642k 32.8-39.1 t/s ~1.2-1.4 (slow)
Q8 yes 1689k 65.6-78.1 t/s ~2.4-2.9 (slow)
Q4 yes 1709k 117.1-139.5 t/s ~4.3-5.1 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.

FAQ

Can the NVIDIA DGX Spark run OpenELM-3B?โ–ถ

Yes. At Q4 it generates ~117.1-139.5 tok/s and fits up to 1709k context; beyond that it spills to SSD swap and slows to ~4.3-5.1 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1709k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.