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// RUN — FITS
Can the FuriosaAI RNGD run MADLAD-400 10B?
Yes — here's how fast and up to what context, with real measured numbers.
MADLAD-400 10B on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 130k | 45.6-55.4 t/s | ~1.2-1.5 (slow) |
| Q8 | yes | 195k | 91.1-110.7 t/s | ~2.4-3 (slow) |
| Q4 | yes | 224k | 162.7-197.8 t/s | ~4.3-5.3 (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 MADLAD-400 10B?▶
Yes. At Q4 it generates ~162.7-197.8 tok/s and fits up to 224k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~4.3-5.3 tok/s.
How much context fits?▶
At Q4, up to about 224k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.