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// RUN — FITS
Can the GMKtec EVO-X3 run RNA-FrameFlow?
Yes — here's how fast and up to what context, with real measured numbers.
RNA-FrameFlow on the GMKtec EVO-X3
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1734k | 4952.4-6019 t/s | ~193.5-235.1 (slow) |
| Q8 | yes | 1735k | 9904.8-12038.1 t/s | ~386.9-470.2 (slow) |
| Q4 | yes | 1735k | 17687.1-21496.6 t/s | ~690.9-839.7 (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 RNA-FrameFlow?▶
Yes. At Q4 it generates ~17687.1-21496.6 tok/s and fits up to 1735k context; beyond that it spills to SSD swap and slows to ~690.9-839.7 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.