// RUN โ€” FITS

Can the Jetson Thor T3000 run Llama 3.2 1B?

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

Llama 3.2 1B on the Jetson Thor T3000

QuantFits?Max contextSpeedBeyond context
FP16 yes 379k 81-96.5 t/s ~3-3.5 (slow)
Q8 yes 398k 162-193.1 t/s ~5.9-7.1 (slow)
Q4 yes 406k 289.3-344.8 t/s ~10.6-12.6 (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 Llama 3.2 1B?โ–ถ

Yes. At Q4 it generates ~289.3-344.8 tok/s and fits up to 406k context; beyond that it spills to SSD swap and slows to ~10.6-12.6 tok/s.

How much context fits?โ–ถ

At Q4, up to about 406k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.