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// RUN — FITS
Can the FuriosaAI RNGD run ESM1-670M (UR100)?
Yes — here's how fast and up to what context, with real measured numbers.
ESM1-670M (UR100) on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 631k | 728.5-885.4 t/s | ~19.4-23.6 (slow) |
| Q8 | yes | 641k | 1457-1770.8 t/s | ~38.9-47.2 (slow) |
| Q4 | yes | 645k | 2601.7-3162.1 t/s | ~69.4-84.3 (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 ESM1-670M (UR100)?▶
Yes. At Q4 it generates ~2601.7-3162.1 tok/s and fits up to 645k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~69.4-84.3 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.