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// RUN — FITS
Can the NVIDIA GeForce RTX 3080 10GB run TinyLlama-1.1B (1T token checkpoint)?
Yes — here's how fast and up to what context, with real measured numbers.
TinyLlama-1.1B (1T token checkpoint) on the NVIDIA GeForce RTX 3080 10GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 84k | 252.2-300.5 t/s | ~13.3-15.8 (slow) |
| Q8 | yes | 101k | 504.4-601.1 t/s | ~26.5-31.6 (slow) |
| Q4 | yes | 108k | 900.6-1073.4 t/s | ~47.4-56.5 (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 3080 10GB
→ TinyLlama-1.1B (1T token checkpoint) specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 3080 10GB run TinyLlama-1.1B (1T token checkpoint)?▶
Yes. At Q4 it generates ~900.6-1073.4 tok/s and fits up to 108k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~47.4-56.5 tok/s.
How much context fits?▶
At Q4, up to about 108k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.