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// RUN — FITS
Can the Intel Arc Pro B60 run Llama SEA-LION V2 8B?
Yes — here's how fast and up to what context, with real measured numbers.
Llama SEA-LION V2 8B on the Intel Arc Pro B60
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 35k | 16.5-20.5 t/s | ~1.5-1.8 (slow) |
| Q8 | yes | 96k | 33.1-41 t/s | ~2.9-3.6 (slow) |
| Q4 | yes | 123k | 59-73.3 t/s | ~5.2-6.4 (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 Intel Arc Pro B60 run Llama SEA-LION V2 8B?▶
Yes. At Q4 it generates ~59-73.3 tok/s and fits up to 123k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.2-6.4 tok/s.
How much context fits?▶
At Q4, up to about 123k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.