gemma-4-31B-it: hardware requirements
gemma-4-31B-it needs about 24 GB of memory at Q4 quantization — a 18 GB download plus room for context and overhead. That fits a machine with 32GB RAM.
Parameters
33B
Tier
Needs a good desktop
Licence
apache-2.0
Released
2026-03-02
Will it run on your machine?
8GB RAMNot enough memory16GB RAMNot enough memory32GB RAMRuns well64GB RAMRuns well128GB RAMRuns well8GB VRAMNot enough memory12GB VRAMNot enough memory16GB VRAMNot enough memory24GB VRAMNot enough memory32GB VRAMRuns well
Download sizes by quantization
Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?
| Quant | Download | RAM @ 4K | RAM @ 32K | Source |
|---|---|---|---|---|
| Q4_K_Mrecommended | 18 GB | 24 GB | 52 GB | measured |
| Q5_K_M | 22 GB | 28 GB | 56 GB | measured |
| Q6_K | 25 GB | 32 GB | 60 GB | measured |
| Q8_0 | 33 GB | 40 GB | 69 GB | measured |
| BF16 | 64 GB | 71 GB | 99 GB | measured |
“Measured” sizes are read from published GGUF files (unsloth/gemma-4-31B-it-GGUF). “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.