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// RUN — FITS
Can the FuriosaAI RNGD run Llama-3.1-Minitron-4B?
Yes — here's how fast and up to what context, with real measured numbers.
Llama-3.1-Minitron-4B on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 529k | 121.9-148.1 t/s | ~3.3-4 (slow) |
| Q8 | yes | 590k | 243.8-296.3 t/s | ~6.5-7.9 (slow) |
| Q4 | yes | 617k | 435.3-529 t/s | ~11.6-14.1 (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 Llama-3.1-Minitron-4B?▶
Yes. At Q4 it generates ~435.3-529 tok/s and fits up to 617k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~11.6-14.1 tok/s.
How much context fits?▶
At Q4, up to about 617k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.