Can I Run Gemma 4 12B (Unified) on NVIDIA GeForce RTX 5060 Ti 8GB?
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
Not at Q4_K_M — that needs 7.2 GB and the NVIDIA GeForce RTX 5060 Ti 8GB has 8 GB. Drop to Q2_K and it fits in 6.1 GB, with up to 8K of context.
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The numbers
| Model | Gemma 4 12B (Unified) |
| Parameters | 12B |
| Quantization | Q4_K_M |
| VRAM needed | 7.2 GB |
| NVIDIA GeForce RTX 5060 Ti 8GB VRAM | 8 GB |
| Verdict | Runs at a lower quant |
| Fits at | Q2_K (6.1 GB) |
| Max context | 8K |
Gemma 4 12B (Unified) on the NVIDIA GeForce RTX 5060 Ti 8GB: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 25.5 GB | ✗ No | — | — |
| Q8_0 | 14.2 GB | ✗ No | — | — |
| Q6_K | 11.3 GB | ✗ No | — | — |
| Q5_K_M | 10 GB | ✗ No | — | — |
| Q4_K_M | 8.7 GB | ✗ No | — | — |
| Q3_K_M | 6.6 GB | ✓ Yes | 8K | — |
| Q2_K | 5.4 GB | ✓ Yes | 16K | — |
Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 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 8GB: 8K 9.4 GB ✗ · 32K 13.3 GB ✗ · 125K 28.5 GB ✗. Past 8K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Quantize to Q2_K. That is the cheapest fix — it costs some quality but no money.
No compatible GPU? Gemma 4 12B (Unified) on 16 GB of system RAM, CPU only: runs, but it is tight.
Running Gemma 4 12B (Unified) on this card:
Gemma 4 12B (Unified) needs ~7 GB but this GPU has 8 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Gemma 4 sizes on the NVIDIA GeForce RTX 5060 Ti 8GB
- Gemma 4 31B — does not fit (18.7 GB)
- Gemma 4 26B-A4B — does not fit (15.7 GB)
- Gemma 4 E4B — runs (4.5 GB)
- Gemma 4 E2B — runs (2.9 GB)
Gemma 4 12B (Unified) on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — runs
All Gemma 4 sizes on the NVIDIA GeForce RTX 5060 Ti 8GB | Gemma 4 12B (Unified) model page | NVIDIA GeForce RTX 5060 Ti 8GB GPU page | Check your hardware