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// RUN — FITS
Can the FuriosaAI RNGD run iGPT-L?
Yes — here's how fast and up to what context, with real measured numbers.
iGPT-L on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 609k | 357.9-435 t/s | ~9.5-11.6 (slow) |
| Q8 | yes | 630k | 715.9-870 t/s | ~19.1-23.2 (slow) |
| Q4 | yes | 639k | 1278.3-1553.7 t/s | ~34.1-41.4 (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 iGPT-L?▶
Yes. At Q4 it generates ~1278.3-1553.7 tok/s and fits up to 639k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~34.1-41.4 tok/s.
How much context fits?▶
At Q4, up to about 639k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.