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// RUN — FITS
Can the NVIDIA GeForce RTX 2050 Mobile run EXAONE Deep 2.4B?
Yes — here's how fast and up to what context, with real measured numbers.
EXAONE Deep 2.4B on the NVIDIA GeForce RTX 2050 Mobile
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 13k | 60.8-72.5 t/s | ~21.7-25.9 (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 2050 Mobile run EXAONE Deep 2.4B?▶
Yes. At Q4 it generates ~60.8-72.5 tok/s and fits up to 13k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~21.7-25.9 tok/s.
How much context fits?▶
At Q4, up to about 13k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.