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// RUN — FITS
Can the FuriosaAI RNGD run SeaLLM-7B-v2.5?
Yes — here's how fast and up to what context, with real measured numbers.
SeaLLM-7B-v2.5 on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 195k | 57.1-69.4 t/s | ~1.5-1.9 (slow) |
| Q8 | yes | 260k | 114.2-138.8 t/s | ~3-3.7 (slow) |
| Q4 | yes | 289k | 203.9-247.8 t/s | ~5.4-6.6 (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 SeaLLM-7B-v2.5?▶
Yes. At Q4 it generates ~203.9-247.8 tok/s and fits up to 289k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.4-6.6 tok/s.
How much context fits?▶
At Q4, up to about 289k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.