// RUN โ€” FITS

Can the NVIDIA DGX Spark run DeciCoder-6B?

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

DeciCoder-6B on the NVIDIA DGX Spark

QuantFits?Max contextSpeedBeyond context
FP16 yes 776k 16.6-19.8 t/s ~0.6-0.7 (slow)
Q8 yes 822k 33.2-39.6 t/s ~1.2-1.5 (slow)
Q4 yes 842k 59.3-70.7 t/s ~2.2-2.6 (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 DeciCoder-6B?โ–ถ

Yes. At Q4 it generates ~59.3-70.7 tok/s and fits up to 842k context; beyond that it spills to SSD swap and slows to ~2.2-2.6 tok/s.

How much context fits?โ–ถ

At Q4, up to about 842k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.