Gemma 4 Guides
Gemma 4 VRAM Calculator: Which Model Fits Your Hardware?

If you are searching for a Gemma 4 VRAM calculator, what you really need is a fast way to answer two questions:
- Which Gemma 4 model can my hardware actually run?
- Which one should I run, even if several technically fit?
This page works as a practical Gemma 4 VRAM calculator and model chooser using public April 2026 numbers from LM Studio, ggml-org GGUF pages, Google's official model card, and Unsloth's local-run guide.
Gemma 4 VRAM calculator: the fast answer
Start here:
| Available memory | Best first Gemma 4 target |
|---|---|
| 4-5 GB | E2B Q4 |
| 6-8 GB | E4B Q4 |
| 9-12 GB | E4B Q8 or E2B F16 |
| 16-18 GB | 26B A4B Q4 |
| 19-24 GB | 31B Q4 or 26B A4B Q4 with more headroom |
| 28-32 GB | 26B A4B Q8 |
| 34-48 GB | 31B Q8 |
| 50-62 GB | 26B A4B F16 or 31B F16 |
This is the fastest useful output of a Gemma 4 VRAM calculator.
But memory alone is not enough. You also need to know what kind of workload you care about.
Step 1: use exact public memory figures
These are the clearest public numbers available on April 7, 2026:
| Model | Q4 / 4-bit | Q8 / 8-bit | F16 / BF16 |
|---|---|---|---|
| E2B | 3.11-4 GB | 4.97-5.05 GB | 9.31-10 GB |
| E4B | 5.34-6 GB | 8.03-12 GB | 15.1-16 GB |
| 26B A4B | 16.8-18 GB | 26.9-30 GB | 50.5-52 GB |
| 31B | 18.7-20 GB | 32.6-38 GB | 61.4-62 GB |
These ranges combine:
- official ggml-org GGUF sizes
- LM Studio minimum system memory
- Unsloth practical planning ranges
That makes them much more useful than a single raw file-size number.
Step 2: choose by workload, not just fit
Here is the better model chooser:
If you want the smallest possible Gemma 4
Choose E2B.
Best for:
- very weak hardware
- edge deployments
- smallest download and runtime footprint
If you want the best small model
Choose E4B.
Best for:
- laptops
- small local workstations
- people who want audio support and stronger quality
If you want the local sweet spot
Choose 26B A4B.
Best for:
- 24 GB class GPUs
- local APIs
- coding assistants
- people who care about speed and quality together
If you want the strongest Gemma 4 model
Choose 31B.
Best for:
- bigger memory budgets
- quality-first local inference
- users who do not mind a heavier model
Step 3: use the right rule when several models fit
This is the part people often miss.
If several models fit your hardware:
- choose the smallest one that clearly solves your problem if responsiveness matters
- choose the largest one only if the quality gain is worth the memory and speed cost
That leads to a practical rule:
- if both E2B and E4B fit, choose E4B
- if both 26B A4B and 31B Q4 fit on 24 GB class hardware, choose 26B A4B unless you know you want 31B specifically
- if 31B Q8 only barely fits on paper, treat it as too tight
Gemma 4 VRAM calculator by common hardware
| Hardware | Best first pick |
|---|---|
| 8 GB laptop / unified memory | E2B Q4 or E4B Q4 |
| 16 GB laptop / mini PC | E4B Q8 or 26B A4B if the system is otherwise strong |
| 24 GB GPU | 26B A4B Q4 |
| 32 GB GPU | 26B A4B Q8 or 31B Q4 |
| 48 GB GPU | 31B Q8 |
| 64 GB unified / workstation memory | 31B Q8 and some F16 workflows |
This is why a good Gemma 4 VRAM calculator is not just a table of file sizes. It is a model-chooser page.
Audio, context, and model-family rules
A few quick rules save a lot of bad choices:
- need audio: choose E2B or E4B
- need 256K context: choose 26B A4B or 31B
- need the best small model: choose E4B
- need the best local speed-quality tradeoff: choose 26B A4B
- need the strongest Gemma 4: choose 31B
FAQ
What is the best Gemma 4 VRAM calculator answer for 24 GB GPUs?
Usually 26B A4B Q4.
What is the best small Gemma 4 model?
Usually E4B, unless memory is so tight that you must drop to E2B.
Can I run 31B on 24 GB?
Yes, in Q4, but 26B A4B is often the better practical pick.
Can I run 31B Q8 on 32 GB?
Treat that as too tight. The official ggml-org Q8 size is already 32.6 GB before you think about headroom.
Official references
- Google Gemma 4 model card
- LM Studio Gemma 4 model family
- ggml-org Gemma 4 26B A4B GGUF
- ggml-org Gemma 4 31B GGUF
- ggml-org Gemma 4 E4B GGUF
- ggml-org Gemma 4 E2B GGUF
- Unsloth Gemma 4 local guide
- Unsloth Gemma 4 E2B GGUF
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 31B VRAM Requirements: Q4, Q8, F16, and Practical Hardware
A focused Gemma 4 31B VRAM requirements guide with exact GGUF sizes, planning ranges, and honest advice on what hardware makes sense.

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.
