Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes. Gemma 3 1B Instruct needs 0.6 GB at Q4_K_M and the NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB, leaving about 15.4 GB of headroom, at roughly 216 tok/s (estimated) with room for up to 128K of context.
See what else this hardware can run →
| Model | Gemma 3 1B Instruct |
| Parameters | 1B |
| Quantization | Q4_K_M |
| VRAM needed | 0.6 GB |
| NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16 GB |
| Verdict | Runs |
| Max context | 128K |
| Estimated speed | ~216 tok/s |
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 3.1 GB | ✓ Yes | 32K | — |
| Q8_0 | 2.2 GB | ✓ Yes | 32K | — |
| Q6_K | 1.9 GB | ✓ Yes | 32K | — |
| Q5_K_M | 1.8 GB | ✓ Yes | 32K | — |
| Q4_K_M | 1.7 GB | ✓ Yes | 32K | — |
| Q3_K_M | 1.5 GB | ✓ Yes | 32K | — |
| Q2_K | 1.4 GB | ✓ Yes | 32K | — |
Assumes a 4K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5060 Ti 16GB: 8K 2 GB · 32K 3.8 GB. Every window this model publishes still fits 16 GB.
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Gemma 3 on 8 GB of system RAM, CPU only: runs, but it is tight.
Running Gemma 3 1B Instruct on this card:
At 2 hrs/day, buying (~$429) beats renting at $0.34/hr after about 21 months.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
All Gemma 3 sizes on the NVIDIA GeForce RTX 5060 Ti 16GB | Gemma 3 1B Instruct model page | NVIDIA GeForce RTX 5060 Ti 16GB GPU page | Check your hardware