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// RUN — FITS
Can the FuriosaAI RNGD run Llama 3-8B?
Yes — here's how fast and up to what context, with real measured numbers.
Llama 3-8B on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 203k | 60.9-74.1 t/s | ~1.6-2 (slow) |
| Q8 | yes | 264k | 121.9-148.1 t/s | ~3.3-4 (slow) |
| Q4 | yes | 291k | 217.6-264.5 t/s | ~5.8-7.1 (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 3-8B?▶
Yes. At Q4 it generates ~217.6-264.5 tok/s and fits up to 291k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.8-7.1 tok/s.
How much context fits?▶
At Q4, up to about 291k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.