Google · open-weights model
gemma-3-12b-it
gemma-3-12b-it is a 12.2B-parameter model by Google. Its smallest quant (Q4_K_M) needs at least 11.0GB of GPU-addressable memory at 8K context; it loads cleanly at a quality quant on 36 of the 50 machines we track.
- Parameters
- 12.2B
- Layers
- 48
- Max context
- 128K
- Attention
- HYBRID
- License
- gemma
Config from google/gemma-3-12b-it
Quants and what they need
Measured file sizes; “needs” = weights + KV cache at 8K context + overhead.
| Quant | File size | Needs ≥ |
|---|---|---|
| Q8_0 | 12.5 GB | 16.2 GB |
| Q6_K | 9.7 GB | 13.4 GB |
| Q5_K_M | 8.4 GB | 12.1 GB |
| Q4_K_M | 7.3 GB | 11.0 GB |
What runs gemma-3-12b-it
Every machine we track, graded at its best clean-fit quant.
Verdicts computed from published specs and measured GGUF sizes — how the math works.