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// RUN — FITS
Can the FuriosaAI RNGD run GPT-2 (355M)?
Yes — here's how fast and up to what context, with real measured numbers.
GPT-2 (355M) on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 640k | 1373.2-1669 t/s | ~36.6-44.5 (slow) |
| Q8 | yes | 646k | 2746.5-3338 t/s | ~73.2-89 (slow) |
| Q4 | yes | 648k | 4904.4-5960.8 t/s | ~130.8-159 (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 GPT-2 (355M)?▶
Yes. At Q4 it generates ~4904.4-5960.8 tok/s and fits up to 648k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~130.8-159 tok/s.
How much context fits?▶
At Q4, up to about 648k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.