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// RUN — FITS
Can the NVIDIA GeForce RTX 3080 Ti 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 3080 Ti
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 2k | 74.3-88.6 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 3080 Ti run Ling-mini-base-2.0-20T?▶
Yes. At Q4 it generates ~74.3-88.6 tok/s and fits up to 2k 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 2k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.