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// RUN — FITS
Can the FuriosaAI RNGD run ESM2-650M?
Yes — here's how fast and up to what context, with real measured numbers.
ESM2-650M on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 631k | 750-911.5 t/s | ~20-24.3 (slow) |
| Q8 | yes | 641k | 1500-1823.1 t/s | ~40-48.6 (slow) |
| Q4 | yes | 645k | 2678.6-3255.5 t/s | ~71.4-86.8 (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 ESM2-650M?▶
Yes. At Q4 it generates ~2678.6-3255.5 tok/s and fits up to 645k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~71.4-86.8 tok/s.
How much context fits?▶
At Q4, up to about 645k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.