// RUN โ€” FITS

Can the NVIDIA GeForce RTX 4080 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 4080

QuantFits?Max contextSpeedBeyond context
FP16 yes 197k 1779.1-2120.3 t/s ~96.7-115.2 (slow)
Q8 yes 199k 3558.1-4240.5 t/s ~193.4-230.5 (slow)
Q4 yes 200k 6353.8-7572.4 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 GeForce RTX 4080 run ERNIE-Doc Base (151M, WT103)?โ–ถ

Yes. At Q4 it generates ~6353.8-7572.4 tok/s and fits up to 200k 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 200k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.