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// RUN — FITS
Can the NVIDIA GeForce RTX 5090 run Ling-mini-base-2.0-20T?
Yes — here's how fast and up to what context, with real measured numbers.
Ling-mini-base-2.0-20T on the NVIDIA GeForce RTX 5090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 46k | 81.8-97.4 t/s | ~1.8-2.2 (slow) |
| Q4 | yes | 72k | 146-174 t/s | ~3.3-3.9 (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 5090 run Ling-mini-base-2.0-20T?▶
Yes. At Q4 it generates ~146-174 tok/s and fits up to 72k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~3.3-3.9 tok/s.
How much context fits?▶
At Q4, up to about 72k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.