Q4_K_M
4.1 GBMin VRAM: 5 GB
Recommended VRAM: 6 GB
Min RAM: 6 GB
Context: 8K / 128K
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75% of 851 scanned PCs run Gemma 4 E4B fully on GPU.
659 keep at least some work on GPU. Based on anonymous compatibility checks.
Best small Gemma pick for local multimodal workflows
Best for
Consider alternatives if
Quantization tip: Start with Q4_K_M for broad compatibility and move to Q8_0 only if your GPU still feels responsive.
New to local models? Smaller quantization variants are easier to run, while larger ones can improve quality at the cost of more memory.
Q4_K_M
4.1 GBMin VRAM: 5 GB
Recommended VRAM: 6 GB
Min RAM: 6 GB
Context: 8K / 128K
Q8_0
8.3 GBMin VRAM: 9.5 GB
Recommended VRAM: 12 GB
Min RAM: 12 GB
Context: 8K / 128K
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_M | 4.1 GB | 5 GB | 6 GB | 6 GB | 8K / 128K |
| Q8_0 | 8.3 GB | 9.5 GB | 12 GB | 12 GB | 8K / 128K |
These GPUs meet the recommended 6 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Budget Pick
NVIDIA GeForce RTX 3060 Laptop6 GB VRAM · ~65.6 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonFastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~349.7 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3080 Ti12 GB VRAM · ~178 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Gemma 4 E4B.