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// RUN — FITS
Can the Jetson Thor T3000 run CarrotAI (CarrotAI大模型)?
Yes — here's how fast and up to what context, with real measured numbers.
CarrotAI (CarrotAI大模型) on the Jetson Thor T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 101k | 14.2-17 t/s | ~0.5-0.6 (slow) |
| Q8 | yes | 155k | 28.5-33.9 t/s | ~1-1.2 (slow) |
| Q4 | yes | 178k | 50.8-60.6 t/s | ~1.9-2.2 (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 CarrotAI (CarrotAI大模型)?▶
Yes. At Q4 it generates ~50.8-60.6 tok/s and fits up to 178k context; beyond that it spills to SSD swap and slows to ~1.9-2.2 tok/s.
How much context fits?▶
At Q4, up to about 178k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.