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// RUN — FITS
Can the FuriosaAI RNGD run Stockmark-13B?
Yes — here's how fast and up to what context, with real measured numbers.
Stockmark-13B on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 99k | 36.9-44.9 t/s | ~1-1.2 (slow) |
| Q8 | yes | 180k | 73.9-89.8 t/s | ~2-2.4 (slow) |
| Q4 | yes | 215k | 131.9-160.3 t/s | ~3.5-4.3 (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 Stockmark-13B?▶
Yes. At Q4 it generates ~131.9-160.3 tok/s and fits up to 215k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~3.5-4.3 tok/s.
How much context fits?▶
At Q4, up to about 215k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.