// RUN โ€” FITS

Can the NVIDIA GeForce RTX 2050 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 2050

QuantFits?Max contextSpeedBeyond context
FP16 yes 72k 270.7-322.6 t/s ~24.2-28.8 (slow)
Q8 yes 74k 541.5-645.3 t/s ~48.3-57.6 (slow)
Q4 yes 75k 966.9-1152.3 t/s ~86.3-102.9 (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 GeForce RTX 2050 run ERNIE-Doc Base (151M, WT103)?โ–ถ

Yes. At Q4 it generates ~966.9-1152.3 tok/s and fits up to 75k context; beyond that it spills to SSD swap and slows to ~86.3-102.9 tok/s.

How much context fits?โ–ถ

At Q4, up to about 75k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.