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// RUN — FITS
Can the NVIDIA A100 PCIe 80GB run InternLM2-20B?
Yes — here's how fast and up to what context, with real measured numbers.
InternLM2-20B on the NVIDIA A100 PCIe 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 122k | 35.3-42.1 t/s | ~0.7-0.9 (slow) |
| Q8 | yes | 199k | 70.6-84.2 t/s | ~1.5-1.7 (slow) |
| Q4 | yes | 232k | 126.1-150.3 t/s | ~2.6-3.1 (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 InternLM2-20B?▶
Yes. At Q4 it generates ~126.1-150.3 tok/s and fits up to 232k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~2.6-3.1 tok/s.
How much context fits?▶
At Q4, up to about 232k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.