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// RUN — FITS
Can the Jetson Thor T2000 run Pythia-410m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-410m on the Jetson Thor T2000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 184k | 122-145.4 t/s | ~8.9-10.6 (slow) |
| Q8 | yes | 191k | 243.9-290.7 t/s | ~17.8-21.2 (slow) |
| Q4 | yes | 193k | 435.6-519.1 t/s | ~31.8-37.9 (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 T2000 run Pythia-410m?▶
Yes. At Q4 it generates ~435.6-519.1 tok/s and fits up to 193k context; beyond that it spills to SSD swap and slows to ~31.8-37.9 tok/s.
How much context fits?▶
At Q4, up to about 193k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.