Google · open-weights model
gemma-4-26B-A4B-it
gemma-4-26B-A4B-it is a 26.5B-parameter model (MoE, 3.8B active) by Google. Its smallest quant (MXFP4_MOE) needs at least 19.0GB of GPU-addressable memory at 8K context; it loads cleanly at a quality quant on 20 of the 50 machines we track.
- Parameters
- 26.5B total · 3.8B active
- Layers
- 30
- Max context
- 256K
- Attention
- HYBRID
- License
- apache-2.0
Config from google/gemma-4-26B-A4B-it
Quants and what they need
Measured file sizes; “needs” = weights + KV cache at 8K context + overhead.
| Quant | File size | Needs ≥ |
|---|---|---|
| Q8_0 | 26.9 GB | 29.3 GB |
| UD-Q5_K_M | 21.1 GB | 23.6 GB |
| UD-Q4_K_M | 16.9 GB | 19.4 GB |
| MXFP4_MOE | 16.6 GB | 19.0 GB |
What runs gemma-4-26B-A4B-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.