// RUN โ€” FITS

Can the NVIDIA GeForce RTX 3090 run Nanbeige2-16B-Chat?

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

Nanbeige2-16B-Chat on the NVIDIA GeForce RTX 3090

QuantFits?Max contextSpeedBeyond context
FP16 no โ€” โ€” โ€”
Q8 yes 18k 43.2-51.5 t/s ~1.8-2.2 (slow)
Q4 yes 45k 77.2-92 t/s ~3.3-3.9 (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 3090 run Nanbeige2-16B-Chat?โ–ถ

Yes. At Q4 it generates ~77.2-92 tok/s and fits up to 45k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~3.3-3.9 tok/s.

How much context fits?โ–ถ

At Q4, up to about 45k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.