Gemma 3 27B on NVIDIA GeForce RTX 4070 Super
NVIDIA GeForce RTX 4070 Super cannot run Gemma 3 27B at any quantization level. The 12 GB of VRAM is insufficient.
Model Size
27.23B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Gemma 3 27B performance at a different quality level on NVIDIA GeForce RTX 4070 Super.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | — | — | ✗ Offload | Not Viable | estimated |
Notes
Q3_K_M
12GB VRAM insufficient. Q3_K_M needs 13.3GB. Would need 16GB+ device.
About Gemma 3 27B
Gemma 3 27B (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's strongest open-weight model. Excellent reasoning and instruction following. At 27B parameters, it's the sweet spot between 8B models (too limited) and 70B models (too expensive). Strong multilingual support. Fits on 24GB GPUs at Q4.
View all Gemma 3 27B 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
Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-15