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Can the FuriosaAI RNGD run Pythia-70m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-70m on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 649k | 6964.3-8464.3 t/s | ~185.7-225.7 (slow) |
| Q8 | yes | 650k | 13928.6-16928.6 t/s | ~371.4-451.4 (slow) |
| Q4 | yes | 650k | 24872.4-30229.6 t/s | ~663.3-806.1 (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 FuriosaAI RNGD run Pythia-70m?▶
Yes. At Q4 it generates ~24872.4-30229.6 tok/s and fits up to 650k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~663.3-806.1 tok/s.
How much context fits?▶
At Q4, up to about 650k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.