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// RUN — FITS
Can the Jetson Thor T3000 run Codestral Mamba?
Yes — here's how fast and up to what context, with real measured numbers.
Codestral Mamba on the Jetson Thor T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 97k | 13.7-16.3 t/s | ~0.5-0.6 (slow) |
| Q8 | yes | 153k | 27.4-32.6 t/s | ~1-1.2 (slow) |
| Q4 | yes | 177k | 48.8-58.2 t/s | ~1.8-2.1 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the Jetson Thor T3000 run Codestral Mamba?▶
Yes. At Q4 it generates ~48.8-58.2 tok/s and fits up to 177k context; beyond that it spills to SSD swap and slows to ~1.8-2.1 tok/s.
How much context fits?▶
At Q4, up to about 177k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.