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// RUN — FITS
Can the NVIDIA H200 run SeaLLM-7B-v2?
Yes — here's how fast and up to what context, with real measured numbers.
SeaLLM-7B-v2 on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 866k | 237.4-282.9 t/s | ~2-2.4 (slow) |
| Q8 | yes | 922k | 474.8-565.9 t/s | ~4-4.7 (slow) |
| Q4 | yes | 947k | 847.9-1010.5 t/s | ~7.1-8.4 (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 H200 run SeaLLM-7B-v2?▶
Yes. At Q4 it generates ~847.9-1010.5 tok/s and fits up to 947k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~7.1-8.4 tok/s.
How much context fits?▶
At Q4, up to about 947k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.