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// RUN — FITS
Can the NVIDIA GeForce RTX 4060 Ti 8GB 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 4060 Ti 8GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 6k | 41.7-49.7 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.
→ All models on the NVIDIA GeForce RTX 4060 Ti 8GB
→ Gemma2 9B CPT Sahabat-AI specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 4060 Ti 8GB run Gemma2 9B CPT Sahabat-AI?▶
Yes. At Q4 it generates ~41.7-49.7 tok/s and fits up to 6k 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 6k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.