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// RUN — FITS
Can the NVIDIA Jetson T3000 run ESM2-15B?
Yes — here's how fast and up to what context, with real measured numbers.
ESM2-15B on the NVIDIA Jetson T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 47k | 13.3-15.8 t/s | ~0.5-0.6 (slow) |
| Q4 | yes | 72k | 23.7-28.3 t/s | ~0.9-1 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA Jetson T3000 run ESM2-15B?▶
Yes. At Q4 it generates ~23.7-28.3 tok/s and fits up to 72k context; beyond that it spills to SSD swap and slows to ~0.9-1 tok/s.
How much context fits?▶
At Q4, up to about 72k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.