Gemma 4 27B
MoEGemma
Google's 27B MoE model with only 4B active parameters per token. Near-frontier quality at a fraction of compute cost.
Provider
Parameters
27B (4B active MoE)
Context
128K
Released
2026-04-08
VRAM Requirements by Quantization
| Method | Disk Size | VRAM Required | Fits GPUs |
|---|---|---|---|
| Q8_0 | 28 GB | 30 GB | 5 GPUs |
| Q4_K_M | 15.5 GB | 17 GB | 9 GPUs |
| Q4_0 | 14.8 GB | 16 GB | 9 GPUs |
| Q2_K | 10 GB | 11.5 GB | 16 GPUs |
Install with Ollama
Benchmark Scores
mmlu83.5%
humaneval80.1%
Scores are approximate and may vary by quantization level.
Compatible GPUs (16)
AMD RX 9070 XT (16GB)AMD RX 7900 GRE (16GB)AMD RX 7900 XTX (24GB)AMD Ryzen AI Max+ 395 (unified memory) (64GB)Apple M4 Pro (24GB) (24GB)Apple M3 Max (36GB) (36GB)Apple M4 Max (48GB) (48GB)Apple M4 Ultra (64GB) (64GB)NVIDIA RTX 4070 Ti SUPER (16GB)NVIDIA RTX 4080 SUPER (16GB)NVIDIA RTX 5070 Ti (16GB)NVIDIA RTX 4060 Ti 16GB (16GB)NVIDIA RTX 5080 (16GB)NVIDIA RTX 4090 (24GB)NVIDIA RTX 3090 (24GB)NVIDIA RTX 5090 (32GB)
HuggingFace
google/gemma-4-27b-it