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// RUN — FITS
Can the NVIDIA Jetson T2000 run Pythia-6.9b?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-6.9b on the NVIDIA Jetson T2000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 46k | 14.5-17.3 t/s | ~1.1-1.3 (slow) |
| Q4 | yes | 69k | 25.9-30.8 t/s | ~1.9-2.3 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA Jetson T2000 run Pythia-6.9b?▶
Yes. At Q4 it generates ~25.9-30.8 tok/s and fits up to 69k context; beyond that it spills to SSD swap and slows to ~1.9-2.3 tok/s.
How much context fits?▶
At Q4, up to about 69k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.