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// RUN — FITS
Can the NVIDIA GeForce RTX 2050 Mobile 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 Mobile
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 32k | 1202.4-1432.9 t/s | ~429.4-511.8 (slow) |
| Q8 | yes | 33k | 2404.7-2865.9 t/s | ~858.8-1023.5 (slow) |
| Q4 | yes | 33k | 4294.1-5117.6 t/s | ~1533.6-1827.7 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
→ All models on the NVIDIA GeForce RTX 2050 Mobile
→ TrellisNet-MoS (1.4x larger) PTB specs
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FAQ
Can the NVIDIA GeForce RTX 2050 Mobile run TrellisNet-MoS (1.4x larger) PTB?▶
Yes. At Q4 it generates ~4294.1-5117.6 tok/s and fits up to 33k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1533.6-1827.7 tok/s.
How much context fits?▶
At Q4, up to about 33k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.