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// RUN — FITS
Can the NVIDIA Jetson T2000 run Japanese-GPT-1B?
Yes — here's how fast and up to what context, with real measured numbers.
Japanese-GPT-1B on the NVIDIA Jetson T2000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 157k | 38.5-45.8 t/s | ~2.8-3.3 (slow) |
| Q8 | yes | 177k | 76.9-91.7 t/s | ~5.6-6.7 (slow) |
| Q4 | yes | 186k | 137.4-163.7 t/s | ~10-12 (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 Japanese-GPT-1B?▶
Yes. At Q4 it generates ~137.4-163.7 tok/s and fits up to 186k context; beyond that it spills to SSD swap and slows to ~10-12 tok/s.
How much context fits?▶
At Q4, up to about 186k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.