GoogleGemma 3 12B on NVIDIA GeForce RTX 4060 8GB
RTX 4060 8GB runs Gemma 3 12B at Q3_K_M — 18 tok/s due to limited memory bandwidth. Slow but functional — see all options below.
Model Size
12.2B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 3 12B on NVIDIA GeForce RTX 4060 8GB at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 18 tok/s | 380ms | ✓ Yes | Marginal | estimated |
Notes
Q3_K_M
12.2B model. Q3_K_M barely fits. Marginal quality but usable.
About Gemma 3 12B
Gemma 3 12B (12.2B) is a chat, coding, multi-purpose model. Google's efficient 12B model with chat and coding support.
View all Gemma 3 12B hardware options →About NVIDIA GeForce RTX 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Estimate method: Q3_K_M 5.7GB fits in 8GB. Quality loss at Q3. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.