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// RUN — FITS
Can the GMKtec EVO-X3 run Pythia-1.4b?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-1.4b on the GMKtec EVO-X3
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1692k | 59.4-72.2 t/s | ~2.3-2.8 (slow) |
| Q8 | yes | 1714k | 118.9-144.5 t/s | ~4.6-5.6 (slow) |
| Q4 | yes | 1723k | 212.2-258 t/s | ~8.3-10.1 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the GMKtec EVO-X3 run Pythia-1.4b?▶
Yes. At Q4 it generates ~212.2-258 tok/s and fits up to 1723k context; beyond that it spills to SSD swap and slows to ~8.3-10.1 tok/s.
How much context fits?▶
At Q4, up to about 1723k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.