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// RUN — FITS
Can the NVIDIA DGX Spark run Refact-1.6B?
Yes — here's how fast and up to what context, with real measured numbers.
Refact-1.6B on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1686k | 62.3-74.2 t/s | ~2.3-2.7 (slow) |
| Q8 | yes | 1711k | 124.6-148.4 t/s | ~4.6-5.4 (slow) |
| Q4 | yes | 1721k | 222.4-265.1 t/s | ~8.1-9.7 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA DGX Spark run Refact-1.6B?▶
Yes. At Q4 it generates ~222.4-265.1 tok/s and fits up to 1721k context; beyond that it spills to SSD swap and slows to ~8.1-9.7 tok/s.
How much context fits?▶
At Q4, up to about 1721k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.