// RUN โ€” FITS

Can the NVIDIA DGX Spark run Japanese-LM-3.6B?

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

Japanese-LM-3.6B on the NVIDIA DGX Spark

QuantFits?Max contextSpeedBeyond context
FP16 yes 1625k 27.7-33 t/s ~1-1.2 (slow)
Q8 yes 1680k 55.4-66 t/s ~2-2.4 (slow)
Q4 yes 1704k 98.9-117.8 t/s ~3.6-4.3 (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 Japanese-LM-3.6B?โ–ถ

Yes. At Q4 it generates ~98.9-117.8 tok/s and fits up to 1704k context; beyond that it spills to SSD swap and slows to ~3.6-4.3 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1704k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.