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// RUN — FITS
Can the NVIDIA GeForce RTX 2050 run BiomedGPT (182M)?
Yes — here's how fast and up to what context, with real measured numbers.
BiomedGPT (182M) on the NVIDIA GeForce RTX 2050
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 71k | 224.6-267.7 t/s | ~20.1-23.9 (slow) |
| Q8 | yes | 74k | 449.2-535.4 t/s | ~40.1-47.8 (slow) |
| Q4 | yes | 75k | 802.2-956 t/s | ~71.6-85.4 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA GeForce RTX 2050 run BiomedGPT (182M)?▶
Yes. At Q4 it generates ~802.2-956 tok/s and fits up to 75k context; beyond that it spills to SSD swap and slows to ~71.6-85.4 tok/s.
How much context fits?▶
At Q4, up to about 75k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.