// RUN โ€” FITS

Can the NVIDIA B200 run SeaLLM-7B-v2?

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

SeaLLM-7B-v2 on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 1224k 395.7-471.5 t/s ~2-2.4 (slow)
Q8 yes 1280k 791.3-943.1 t/s ~4-4.7 (slow)
Q4 yes 1305k 1413.1-1684.1 t/s ~7.1-8.4 (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 B200 run SeaLLM-7B-v2?โ–ถ

Yes. At Q4 it generates ~1413.1-1684.1 tok/s and fits up to 1305k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~7.1-8.4 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1305k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.