GoogleGemma 3 4B on NVIDIA GeForce RTX 4070 Super
Yes — RTX 4070 Super runs Gemma 3 4B excellently at Q8_0 — 85 tok/s. 12 GB VRAM with plenty of headroom.
Model Size
4.3B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 3 4B on NVIDIA GeForce RTX 4070 Super at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 85 tok/s | 65ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
4B at Q8. Minimal VRAM, fast inference.
About Gemma 3 4B
Gemma 3 4B (4.3B) is a chat, coding model. Compact Gemma 3 model for chat and light coding on low-VRAM hardware.
View all Gemma 3 4B hardware options →About NVIDIA GeForce RTX 4070 Super
NVIDIA GeForce RTX 4070 Super has 12 GB at 504 GB/s. Street price: $599.
See all models NVIDIA GeForce RTX 4070 Super can run →Builds with NVIDIA GeForce RTX 4070 Super
Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)
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.