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// RUN — FITS
Can the NVIDIA GeForce RTX 5070 run Gemma2 9B CPT Sahabat-AI?
Yes — here's how fast and up to what context, with real measured numbers.
Gemma2 9B CPT Sahabat-AI on the NVIDIA GeForce RTX 5070
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 4k | 54.5-65 t/s | ~3.2-3.9 (slow) |
| Q4 | yes | 34k | 97.3-116 t/s | ~5.8-6.9 (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 NVIDIA GeForce RTX 5070 run Gemma2 9B CPT Sahabat-AI?▶
Yes. At Q4 it generates ~97.3-116 tok/s and fits up to 34k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.8-6.9 tok/s.
How much context fits?▶
At Q4, up to about 34k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.