// RUN โ€” FITS

Can the NVIDIA GeForce RTX 5090 run Codestral Mamba?

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

Codestral Mamba on the NVIDIA GeForce RTX 5090

QuantFits?Max contextSpeedBeyond context
FP16 yes 102k 89.8-107 t/s ~2-2.4 (slow)
Q8 yes 158k 179.6-214 t/s ~4-4.8 (slow)
Q4 yes 182k 320.6-382.1 t/s ~7.2-8.5 (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 5090 run Codestral Mamba?โ–ถ

Yes. At Q4 it generates ~320.6-382.1 tok/s and fits up to 182k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~7.2-8.5 tok/s.

How much context fits?โ–ถ

At Q4, up to about 182k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.