// RUN โ€” FITS

Can the NVIDIA GeForce RTX 3080 10GB run GLA Transformer 340M?

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

GLA Transformer 340M on the NVIDIA GeForce RTX 3080 10GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 107k 815.9-972.4 t/s ~42.9-51.2 (slow)
Q8 yes 112k 1631.8-1944.7 t/s ~85.9-102.4 (slow)
Q4 yes 115k 2913.9-3472.7 t/s ~153.4-182.8 (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 3080 10GB run GLA Transformer 340M?โ–ถ

Yes. At Q4 it generates ~2913.9-3472.7 tok/s and fits up to 115k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~153.4-182.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 115k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.