Models › gemma-4-12B-it
gemma-4-12B-it: VRAM needs and speed by GPU
At Q4_K_M, gemma-4-12B-it needs about 8.2 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
11.91B parameters · license: apache-2.0 · 262,144-token context · GGUF published May 29, 2026 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| UD-IQ2_M | 4.2 GB | 5.3 GB | 8 GB cards |
| UD-IQ3_XXS | 4.6 GB | 5.7 GB | 8 GB cards |
| UD-Q2_K_XL | 4.7 GB | 5.8 GB | 8 GB cards |
| Q3_K_S | 5.1 GB | 6.2 GB | 8 GB cards |
| Q3_K_M | 5.7 GB | 6.8 GB | 8 GB cards |
| UD-Q3_K_XL | 6.0 GB | 7.1 GB | 8 GB cards |
| IQ4_XS | 6.4 GB | 7.5 GB | 8 GB cards |
| IQ4_NL | 6.7 GB | 7.8 GB | 12 GB cards |
| Q4_0 | 6.7 GB | 7.8 GB | 12 GB cards |
| Q4_K_S | 6.8 GB | 7.9 GB | 12 GB cards |
| Q4_K_M | 7.1 GB | 8.2 GB | 12 GB cards |
| UD-Q4_K_XL | 7.4 GB | 8.5 GB | 12 GB cards |
| Q4_1 | 7.4 GB | 8.5 GB | 12 GB cards |
| Q5_K_S | 8.2 GB | 9.3 GB | 12 GB cards |
| Q5_K_M | 8.4 GB | 9.5 GB | 12 GB cards |
| UD-Q5_K_XL | 8.6 GB | 9.7 GB | 12 GB cards |
| Q6_K | 9.8 GB | 10.9 GB | 12 GB cards |
| UD-Q6_K_XL | 10.7 GB | 11.8 GB | 16 GB cards |
| Q8_0 | 12.7 GB | 13.8 GB | 16 GB cards |
| UD-Q8_K_XL | 13.6 GB | 14.7 GB | 16 GB cards |
| BF16 | 23.8 GB | 24.9 GB | 32 GB cards |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Q6_K | 31.5 estimate |
| NVIDIA RTX 4060 Ti | IQ4_XS | 38.4 estimate |
| NVIDIA RTX 3090 | Q8_0 | 51.8 estimate |
| NVIDIA RTX 4090 | Q8_0 | 57.4 estimate |
| NVIDIA RTX 5090 | Q8_0 | 90.6 estimate |
| AMD Radeon RX 7900 XTX | Q8_0 | 57.6 estimate |
| Apple M4 Pro (20-core GPU) (64 GB) | Q8_0 | 18.3 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | Q8_0 | 26.7 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q8_0 | 16.4 estimate |
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