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// RUN — FITS
Can the NVIDIA A100 PCIe 80GB 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 A100 PCIe 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 984k | 185.9-221.5 t/s | ~3.8-4.6 (slow) |
| Q8 | yes | 1042k | 371.7-443 t/s | ~7.7-9.2 (slow) |
| Q4 | yes | 1068k | 663.8-791.1 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 A100 PCIe 80GB run bilingual-gpt-neox-4b?▶
Yes. At Q4 it generates ~663.8-791.1 tok/s and fits up to 1068k 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 1068k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.