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// RUN — FITS
Can the FuriosaAI RNGD run Pythia-410m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-410m on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 638k | 1189-1445.1 t/s | ~31.7-38.5 (slow) |
| Q8 | yes | 645k | 2378-2890.2 t/s | ~63.4-77.1 (slow) |
| Q4 | yes | 647k | 4246.5-5161.1 t/s | ~113.2-137.6 (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 FuriosaAI RNGD run Pythia-410m?▶
Yes. At Q4 it generates ~4246.5-5161.1 tok/s and fits up to 647k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~113.2-137.6 tok/s.
How much context fits?▶
At Q4, up to about 647k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.