// RUN โ€” FITS

Can the NVIDIA GeForce RTX 4080 run Multilingual-E5-large?

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

Multilingual-E5-large on the NVIDIA GeForce RTX 4080

QuantFits?Max contextSpeedBeyond context
FP16 yes 185k 479.7-571.7 t/s ~26.1-31.1 (slow)
Q8 yes 193k 959.4-1143.4 t/s ~52.1-62.1 (slow)
Q4 yes 197k 1713.3-2041.8 t/s ~93.1-111 (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 Multilingual-E5-large?โ–ถ

Yes. At Q4 it generates ~1713.3-2041.8 tok/s and fits up to 197k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~93.1-111 tok/s.

How much context fits?โ–ถ

At Q4, up to about 197k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.