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// RUN — FITS
Can the NVIDIA GeForce RTX 2050 run TrellisNet-MoS (1.4x larger) PTB?
Yes — here's how fast and up to what context, with real measured numbers.
TrellisNet-MoS (1.4x larger) PTB on the NVIDIA GeForce RTX 2050
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 75k | 1202.4-1432.9 t/s | ~107.4-127.9 (slow) |
| Q8 | yes | 76k | 2404.7-2865.9 t/s | ~214.7-255.9 (slow) |
| Q4 | yes | 76k | 4294.1-5117.6 t/s | ~383.4-456.9 (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
→ TrellisNet-MoS (1.4x larger) PTB specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 2050 run TrellisNet-MoS (1.4x larger) PTB?▶
Yes. At Q4 it generates ~4294.1-5117.6 tok/s and fits up to 76k context; beyond that it spills to SSD swap and slows to ~383.4-456.9 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.