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// RUN — FITS
Can the Jetson Thor T3000 run ProtGPT2?
Yes — here's how fast and up to what context, with real measured numbers.
ProtGPT2 on the Jetson Thor T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 394k | 135-160.9 t/s | ~4.9-5.9 (slow) |
| Q8 | yes | 405k | 270-321.8 t/s | ~9.9-11.8 (slow) |
| Q4 | yes | 410k | 482.2-574.7 t/s | ~17.7-21.1 (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 ProtGPT2?▶
Yes. At Q4 it generates ~482.2-574.7 tok/s and fits up to 410k context; beyond that it spills to SSD swap and slows to ~17.7-21.1 tok/s.
How much context fits?▶
At Q4, up to about 410k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.