// RUN โ€” FITS

Can the NVIDIA GeForce RTX 5080 run DEQ-Transformer (Post-LN) + Jacobian Regularisation?

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

DEQ-Transformer (Post-LN) + Jacobian Regularisation on the NVIDIA GeForce RTX 5080

QuantFits?Max contextSpeedBeyond context
FP16 yes 199k 3575.5-4261.2 t/s ~149-177.6 (slow)
Q8 yes 200k 7151-8522.4 t/s ~298-355.1 (slow)
Q4 yes 201k 12769.7-15218.7 t/s ~532.1-634.1 (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 5080 run DEQ-Transformer (Post-LN) + Jacobian Regularisation?โ–ถ

Yes. At Q4 it generates ~12769.7-15218.7 tok/s and fits up to 201k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~532.1-634.1 tok/s.

How much context fits?โ–ถ

At Q4, up to about 201k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.