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// RUN — FITS
Can the NVIDIA H200 run OpenLLaMA-13B?
Yes — here's how fast and up to what context, with real measured numbers.
OpenLLaMA-13B on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 624k | 134.8-160.6 t/s | ~1.1-1.3 (slow) |
| Q8 | yes | 703k | 269.5-321.2 t/s | ~2.2-2.7 (slow) |
| Q4 | yes | 738k | 481.3-573.6 t/s | ~4-4.8 (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 H200 run OpenLLaMA-13B?▶
Yes. At Q4 it generates ~481.3-573.6 tok/s and fits up to 738k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~4-4.8 tok/s.
How much context fits?▶
At Q4, up to about 738k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.