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// RUN — FITS
Can the NVIDIA Jetson T2000 run DeciCoder-6B?
Yes — here's how fast and up to what context, with real measured numbers.
DeciCoder-6B on the NVIDIA Jetson T2000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 7k | 8.3-9.9 t/s | ~0.6-0.7 (slow) |
| Q8 | yes | 53k | 16.7-19.9 t/s | ~1.2-1.5 (slow) |
| Q4 | yes | 73k | 29.8-35.5 t/s | ~2.2-2.6 (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 DeciCoder-6B?▶
Yes. At Q4 it generates ~29.8-35.5 tok/s and fits up to 73k context; beyond that it spills to SSD swap and slows to ~2.2-2.6 tok/s.
How much context fits?▶
At Q4, up to about 73k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.