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// RUN — FITS
Can the NVIDIA GeForce RTX 3090 run EXAONE Deep 7.8B?
Yes — here's how fast and up to what context, with real measured numbers.
EXAONE Deep 7.8B on the NVIDIA GeForce RTX 3090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 38k | 43.8-52.2 t/s | ~1.9-2.2 (slow) |
| Q8 | yes | 98k | 87.6-104.4 t/s | ~3.7-4.5 (slow) |
| Q4 | yes | 124k | 156.4-186.4 t/s | ~6.7-8 (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 3090 run EXAONE Deep 7.8B?▶
Yes. At Q4 it generates ~156.4-186.4 tok/s and fits up to 124k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~6.7-8 tok/s.
How much context fits?▶
At Q4, up to about 124k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.