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// RUN — FITS
Can the FuriosaAI RNGD run Japanese-LM-3.6B?
Yes — here's how fast and up to what context, with real measured numbers.
Japanese-LM-3.6B on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 541k | 135.4-164.6 t/s | ~3.6-4.4 (slow) |
| Q8 | yes | 596k | 270.8-329.2 t/s | ~7.2-8.8 (slow) |
| Q4 | yes | 620k | 483.6-587.8 t/s | ~12.9-15.7 (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 Japanese-LM-3.6B?▶
Yes. At Q4 it generates ~483.6-587.8 tok/s and fits up to 620k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~12.9-15.7 tok/s.
How much context fits?▶
At Q4, up to about 620k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.