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// RUN — FITS
Can the NVIDIA GeForce RTX 3090 run bilingual-gpt-neox-4b?
Yes — here's how fast and up to what context, with real measured numbers.
bilingual-gpt-neox-4b on the NVIDIA GeForce RTX 3090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 198k | 89.9-107.1 t/s | ~3.8-4.6 (slow) |
| Q8 | yes | 256k | 179.8-214.3 t/s | ~7.7-9.2 (slow) |
| Q4 | yes | 282k | 321.1-382.7 t/s | ~13.7-16.4 (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 bilingual-gpt-neox-4b?▶
Yes. At Q4 it generates ~321.1-382.7 tok/s and fits up to 282k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~13.7-16.4 tok/s.
How much context fits?▶
At Q4, up to about 282k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.