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// RUN — FITS
Can the FuriosaAI RNGD run Ring-mini-linear-2.0?
Yes — here's how fast and up to what context, with real measured numbers.
Ring-mini-linear-2.0 on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 38k | 29.7-36.1 t/s | ~0.8-1 (slow) |
| Q8 | yes | 100k | 59.5-72.3 t/s | ~1.6-1.9 (slow) |
| Q4 | yes | 128k | 106.2-129 t/s | ~2.8-3.4 (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 Ring-mini-linear-2.0?▶
Yes. At Q4 it generates ~106.2-129 tok/s and fits up to 128k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~2.8-3.4 tok/s.
How much context fits?▶
At Q4, up to about 128k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.