// RUN โ€” FITS

Can the NVIDIA GeForce RTX 5090 run ERNIE-Doc Base (151M, WT103)?

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

ERNIE-Doc Base (151M, WT103) on the NVIDIA GeForce RTX 5090

QuantFits?Max contextSpeedBeyond context
FP16 yes 422k 4331.7-5162.4 t/s ~96.7-115.2 (slow)
Q8 yes 424k 8663.3-10324.8 t/s ~193.4-230.5 (slow)
Q4 yes 425k 15470.2-18437.1 t/s ~345.3-411.5 (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 ERNIE-Doc Base (151M, WT103)?โ–ถ

Yes. At Q4 it generates ~15470.2-18437.1 tok/s and fits up to 425k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~345.3-411.5 tok/s.

How much context fits?โ–ถ

At Q4, up to about 425k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.