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// RUN — FITS
Can the NVIDIA B200 run Qwen2.5-Math-1.5B?
Yes — here's how fast and up to what context, with real measured numbers.
Qwen2.5-Math-1.5B on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2627k | 1946.7-2320 t/s | ~9.7-11.6 (slow) |
| Q8 | yes | 2650k | 3893.3-4640 t/s | ~19.5-23.2 (slow) |
| Q4 | yes | 2660k | 6952.4-8285.7 t/s | ~34.8-41.4 (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 B200 run Qwen2.5-Math-1.5B?▶
Yes. At Q4 it generates ~6952.4-8285.7 tok/s and fits up to 2660k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~34.8-41.4 tok/s.
How much context fits?▶
At Q4, up to about 2660k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.