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// RUN — FITS
Can the NVIDIA GeForce RTX 2050 run ERNIE-GEN (large)?
Yes — here's how fast and up to what context, with real measured numbers.
ERNIE-GEN (large) on the NVIDIA GeForce RTX 2050
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 66k | 120.2-143.3 t/s | ~10.7-12.8 (slow) |
| Q8 | yes | 71k | 240.5-286.6 t/s | ~21.5-25.6 (slow) |
| Q4 | yes | 73k | 429.4-511.8 t/s | ~38.3-45.7 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA GeForce RTX 2050 run ERNIE-GEN (large)?▶
Yes. At Q4 it generates ~429.4-511.8 tok/s and fits up to 73k context; beyond that it spills to SSD swap and slows to ~38.3-45.7 tok/s.
How much context fits?▶
At Q4, up to about 73k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.