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// RUN — FITS
Can the FuriosaAI RNGD run GPT-Neo-1.3B?
Yes — here's how fast and up to what context, with real measured numbers.
GPT-Neo-1.3B on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 611k | 375-455.8 t/s | ~10-12.2 (slow) |
| Q8 | yes | 631k | 750-911.5 t/s | ~20-24.3 (slow) |
| Q4 | yes | 640k | 1339.3-1627.7 t/s | ~35.7-43.4 (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 FuriosaAI RNGD run GPT-Neo-1.3B?▶
Yes. At Q4 it generates ~1339.3-1627.7 tok/s and fits up to 640k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~35.7-43.4 tok/s.
How much context fits?▶
At Q4, up to about 640k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.