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// RUN — FITS
Can the NVIDIA GeForce RTX 3080 Ti run ERNIE-Doc (247M)?
Yes — here's how fast and up to what context, with real measured numbers.
ERNIE-Doc (247M) on the NVIDIA GeForce RTX 3080 Ti
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 138k | 1347.7-1606.2 t/s | ~59.1-70.4 (slow) |
| Q8 | yes | 142k | 2695.4-3212.3 t/s | ~118.2-140.9 (slow) |
| Q4 | yes | 143k | 4813.2-5736.3 t/s | ~211.1-251.6 (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 ERNIE-Doc (247M)?▶
Yes. At Q4 it generates ~4813.2-5736.3 tok/s and fits up to 143k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~211.1-251.6 tok/s.
How much context fits?▶
At Q4, up to about 143k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.