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// RUN — FITS
Can the GMKtec EVO-X3 run Selfish-RNN (SNT-ASGD) Stacked LSTMs?
Yes — here's how fast and up to what context, with real measured numbers.
Selfish-RNN (SNT-ASGD) Stacked LSTMs on the GMKtec EVO-X3
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1734k | 3301.6-4012.7 t/s | ~129-156.7 (slow) |
| Q8 | yes | 1735k | 6603.2-8025.4 t/s | ~257.9-313.5 (slow) |
| Q4 | yes | 1735k | 11791.4-14331.1 t/s | ~460.6-559.8 (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 Selfish-RNN (SNT-ASGD) Stacked LSTMs?▶
Yes. At Q4 it generates ~11791.4-14331.1 tok/s and fits up to 1735k context; beyond that it spills to SSD swap and slows to ~460.6-559.8 tok/s.
How much context fits?▶
At Q4, up to about 1735k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.