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// RUN — FITS
Can the NVIDIA GeForce RTX 5060 Ti 16GB run Pythia-160m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-160m on the NVIDIA GeForce RTX 5060 Ti 16GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 197k | 1022-1218 t/s | ~91.3-108.8 (slow) |
| Q8 | yes | 199k | 2044-2436 t/s | ~182.5-217.5 (slow) |
| Q4 | yes | 200k | 3650-4350 t/s | ~325.9-388.4 (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.
FAQ
Can the NVIDIA GeForce RTX 5060 Ti 16GB run Pythia-160m?▶
Yes. At Q4 it generates ~3650-4350 tok/s and fits up to 200k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~325.9-388.4 tok/s.
How much context fits?▶
At Q4, up to about 200k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.