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// RUN — FITS
Can the NVIDIA GeForce RTX 2050 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 NVIDIA GeForce RTX 2050
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 76k | 1622.2-1933.3 t/s | ~144.8-172.6 (slow) |
| Q8 | yes | 76k | 3244.4-3866.7 t/s | ~289.7-345.2 (slow) |
| Q4 | yes | 76k | 5793.7-6904.8 t/s | ~517.3-616.5 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
→ All models on the NVIDIA GeForce RTX 2050
→ Selfish-RNN (SNT-ASGD) Stacked LSTMs specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 2050 run Selfish-RNN (SNT-ASGD) Stacked LSTMs?▶
Yes. At Q4 it generates ~5793.7-6904.8 tok/s and fits up to 76k context; beyond that it spills to SSD swap and slows to ~517.3-616.5 tok/s.
How much context fits?▶
At Q4, up to about 76k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.