// RUN โ€” FITS

Can the FuriosaAI RNGD run TrellisNet-MoS (1.4x larger) PTB?

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

TrellisNet-MoS (1.4x larger) PTB on the FuriosaAI RNGD

QuantFits?Max contextSpeedBeyond context
FP16 yes 650k 14338.2-17426.5 t/s ~382.4-464.7 (slow)
Q8 yes 650k 28676.5-34852.9 t/s ~764.7-929.4 (slow)
Q4 yes 651k 51208-62237.4 t/s ~1365.5-1659.7 (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 FuriosaAI RNGD run TrellisNet-MoS (1.4x larger) PTB?โ–ถ

Yes. At Q4 it generates ~51208-62237.4 tok/s and fits up to 651k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1365.5-1659.7 tok/s.

How much context fits?โ–ถ

At Q4, up to about 651k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.