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// RUN — FITS
Can the NVIDIA GeForce RTX 4060 Ti 16GB run Pythia-Chat-Base-7B-v0.16?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-Chat-Base-7B-v0.16 on the NVIDIA GeForce RTX 4060 Ti 16GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 47k | 30-35.8 t/s | ~4.2-5 (slow) |
| Q4 | yes | 71k | 53.6-63.9 t/s | ~7.4-8.9 (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 16GB
→ Pythia-Chat-Base-7B-v0.16 specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 4060 Ti 16GB run Pythia-Chat-Base-7B-v0.16?▶
Yes. At Q4 it generates ~53.6-63.9 tok/s and fits up to 71k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~7.4-8.9 tok/s.
How much context fits?▶
At Q4, up to about 71k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.