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// RUN — FITS
Can the GMKtec EVO-X3 run Pythia-410m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-410m on the GMKtec EVO-X3
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1722k | 202.9-246.6 t/s | ~7.9-9.6 (slow) |
| Q8 | yes | 1729k | 405.9-493.3 t/s | ~15.9-19.3 (slow) |
| Q4 | yes | 1731k | 724.7-880.8 t/s | ~28.3-34.4 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the GMKtec EVO-X3 run Pythia-410m?▶
Yes. At Q4 it generates ~724.7-880.8 tok/s and fits up to 1731k context; beyond that it spills to SSD swap and slows to ~28.3-34.4 tok/s.
How much context fits?▶
At Q4, up to about 1731k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.