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// RUN — FITS
Can the NVIDIA GeForce RTX 3070 run BiomedGPT (182M)?
Yes — here's how fast and up to what context, with real measured numbers.
BiomedGPT (182M) on the NVIDIA GeForce RTX 3070
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 84k | 898.5-1070.8 t/s | ~80.2-95.6 (slow) |
| Q8 | yes | 87k | 1796.9-2141.5 t/s | ~160.4-191.2 (slow) |
| Q4 | yes | 88k | 3208.8-3824.2 t/s | ~286.5-341.4 (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 GeForce RTX 3070 run BiomedGPT (182M)?▶
Yes. At Q4 it generates ~3208.8-3824.2 tok/s and fits up to 88k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~286.5-341.4 tok/s.
How much context fits?▶
At Q4, up to about 88k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.