// RUN โ€” FITS

Can the Jetson Thor T3000 run AWD-LSTM-DOC (fin) (23M)?

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

AWD-LSTM-DOC (fin) (23M) on the Jetson Thor T3000

QuantFits?Max contextSpeedBeyond context
FP16 yes 416k 4332.4-5163.3 t/s ~158.7-189.1 (slow)
Q8 yes 416k 8664.8-10326.5 t/s ~317.4-378.3 (slow)
Q4 yes 416k 15472.8-18440.2 t/s ~566.8-675.5 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.

FAQ

Can the Jetson Thor T3000 run AWD-LSTM-DOC (fin) (23M)?โ–ถ

Yes. At Q4 it generates ~15472.8-18440.2 tok/s and fits up to 416k context; beyond that it spills to SSD swap and slows to ~566.8-675.5 tok/s.

How much context fits?โ–ถ

At Q4, up to about 416k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.