// RUN โ€” FITS

Can the NVIDIA B200 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 B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 2668k 19337.7-23046.4 t/s ~96.7-115.2 (slow)
Q8 yes 2670k 38675.5-46092.7 t/s ~193.4-230.5 (slow)
Q4 yes 2671k 69063.4-82308.4 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 B200 run ERNIE-Doc Base (151M, WT103)?โ–ถ

Yes. At Q4 it generates ~69063.4-82308.4 tok/s and fits up to 2671k 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 2671k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.