Gemma 4 Guides
Gemma 4 31B VRAM Requirements: Q4, Q8, F16, and Practical Hardware

If you are searching for Gemma 4 31B VRAM requirements, the first thing to know is that the 31B is the most demanding model in the Gemma 4 family. It is also the strongest one, which is why many people still want to run it locally.
The useful answer is not just "how big is the file?" The useful answer is which quant can you load comfortably, and what kind of hardware stops feeling cramped?
Gemma 4 31B VRAM requirements: short answer
As of April 7, 2026, the clearest public numbers are:
| Source | Gemma 4 31B memory figure |
|---|---|
| LM Studio minimum system memory | 19 GB |
| ggml-org Q4_K_M | 18.7 GB |
| ggml-org Q8_0 | 32.6 GB |
| ggml-org F16 | 61.4 GB |
| Unsloth practical planning range | 17-20 GB / 34-38 GB / 62 GB |
That means:
- Q4 is the realistic local default
- Q8 is already a serious workstation-class target
- F16 / BF16 is not the normal consumer path
Exact Gemma 4 31B VRAM requirements by quantization
The official ggml-org GGUF page for Gemma 4 31B lists:
| Quantization | Approximate size |
|---|---|
| Q4_K_M | 18.7 GB |
| Q8_0 | 32.6 GB |
| F16 | 61.4 GB |
Unsloth's April 2026 local guide gives nearly the same planning view:
| Format | Practical planning range |
|---|---|
| 4-bit | 17-20 GB |
| 8-bit | 34-38 GB |
| BF16 / FP16 | 62 GB |
Those two sources line up well enough to use for real hardware planning.
What hardware can actually run Gemma 4 31B?
For a simple buying-and-deployment view:
| Your hardware | Gemma 4 31B fit |
|---|---|
| 16 GB class | Not a safe target |
| 24 GB GPU | Q4 is realistic |
| 32 GB GPU | Q4 is comfortable, Q8 is still tight |
| 48 GB GPU | Strong Q4 / safer Q8 target |
| 64 GB unified memory | Good local target, but still not "free" |
| 80 GB class accelerator | Comfortable F16 / BF16 territory |
The key mistake with Gemma 4 31B VRAM requirements is planning right at the bare minimum.
Even if the raw model fits, you still want room for:
- runtime overhead
- longer contexts
- the operating system
- the rest of your local workflow
So treat 18.7-19 GB as the lower edge for Q4, not the comfortable target.
Is 24 GB enough for Gemma 4 31B?
Yes, 24 GB is enough for Gemma 4 31B at Q4.
It is not enough for a carefree experience at every setting, and it is definitely not enough for Q8. But for the common "I want the 31B locally in 4-bit" goal, 24 GB is the number that starts to make sense.
If you only have 24 GB and want more breathing room, Gemma 4 26B A4B is usually the better local choice.
Is 32 GB enough for Gemma 4 31B Q8?
This is where people get tripped up.
The official ggml-org Q8 figure is 32.6 GB, which means a raw 32 GB budget is already below the listed model size. In practice, 32 GB is not the comfortable answer for 31B Q8.
If your goal is Gemma 4 31B Q8, think more in terms of:
- 48 GB GPU class
- or a larger unified memory Mac / workstation setup
Is F16 realistic for local users?
For most people, no.
The official ggml-org page lists 61.4 GB for F16, and Unsloth rounds the planning number to 62 GB. That is well outside normal consumer GPU budgets.
So if you are trying to run Gemma 4 31B locally, the realistic path is:
- Q4 first
- Q8 only if you have real headroom
- F16 only if you are deliberately targeting workstation or accelerator hardware
Should you run 31B or 26B A4B?
If your real question behind Gemma 4 31B VRAM requirements is "Should I even try 31B?", the honest answer is:
- choose 31B if you want the strongest Gemma 4 model and can afford the memory
- choose 26B A4B if you want a much better speed-per-VRAM outcome
That is why the 26B A4B keeps showing up as the local sweet spot.
FAQ
How much VRAM does Gemma 4 31B need?
For the public GGUF builds and planning guides available on April 7, 2026:
- Q4: about 18.7-20 GB
- Q8: about 32.6-38 GB
- F16 / BF16: about 61.4-62 GB
Can I run Gemma 4 31B on a 24 GB GPU?
Yes, for Q4. No, not comfortably for Q8.
What is the LM Studio minimum memory for Gemma 4 31B?
LM Studio currently lists 19 GB minimum system memory.
If I cannot fit 31B comfortably, what should I use instead?
Use Gemma 4 26B A4B.
Official references
- LM Studio: Gemma 4 31B
- ggml-org Gemma 4 31B GGUF
- Unsloth Gemma 4 local guide
- Google Gemma 4 model card
Related guides
Related guides
Continue through the Gemma 4 cluster with the next guide that matches your current decision.

Gemma 4 26B A4B VRAM Requirements: Q4, Q8, F16, and 24 GB GPU Fit
A focused Gemma 4 26B A4B VRAM requirements guide with exact GGUF sizes, planning ranges, and why the 26B is the local sweet spot.

Gemma 4 26B vs 31B: Which Model Should You Run?
A practical Gemma 4 26B vs 31B comparison for people deciding between the MoE sweet spot and the strongest dense model in the family.

Gemma 4 E2B VRAM Requirements: Q4, Q8, F16, and Edge Device Fit
A focused Gemma 4 E2B VRAM requirements guide with exact file sizes, practical planning ranges, and honest advice on when E2B is the right fit.
Still deciding what to read next?
Go back to the guide hub to browse model comparisons, setup walkthroughs, and hardware planning pages.
