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// RUN — FITS
Can the FuriosaAI RNGD run AbLang (heavy sequences)?
Yes — here's how fast and up to what context, with real measured numbers.
AbLang (heavy sequences) 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 AbLang (heavy sequences)?▶
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.