Google · 33B · Dense
Gemma 4 flagship base model (official)
703.4K downloads
494 likes
2026-04 256K context
Use Cases
vision reasoning
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 11.1 GB | low | — |
| Q3_K_M | 3 | 15.3 GB | moderate | — |
| Q4_K_M | 4 | 17.4 GB | good | — |
| Q5_K_M | 5 | 21.6 GB | good | — |
| Q6_K | 6 | 25.9 GB | excellent | — |
| Q8_0 | 8 | 34.3 GB | excellent | — |
| F16 | 16 | 68.1 GB | lossless | — |
GPUs that run Gemma 4 31B
Gemma 4 31B needs about 17.4 GB of VRAM at Q4_K_M, so it runs comfortably on a GPU with 24 GB of VRAM or more (35 of the GPUs we track). Common cards, smallest first:
| VRAM | GPUs |
|---|---|
| 24 GB | RTX 4090 , RX 7900 XTX , RTX 3090 Ti |
| 32 GB | RTX 5090 , RTX 5000 Ada , Tesla V100 32GB |
About this model
Gemma 4 flagship base model (official)