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Gemma 4 E4B
Frontier
Apr 2026Released128K tokensContextApache-2.0License65 GoodQuality
Gemma 4 E4B (8B parameters) requires approximately 8.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 10 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Gemma 4 E4B on your machine.
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ollama run gemma4:e4bQuick specs
Parameters8B
Architecturedense
Context128K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseApache-2.0
FamilyGemma
✓ Code✓ Chat✓ Reasoning
About this model
- •Multimodal (text+image+audio+video)
- •Default Gemma 4 on Ollama
- •Apache 2.0 license
- •128K context
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | — |
Q3_K_S | 3 | 3.9 GB | Low | — |
NVFP4 | 4 | 4.5 GB | Medium | — |
Q4_K_M | 4 | 4.9 GB | Medium | — |
Q5_K_M | 5 | 5.8 GB | High | — |
Q6_K | 6 | 6.6 GB | High | — |
Q8_0 | 8 | 8.6 GB | Very High | — |
F16 | 16 | 16.4 GB | Maximum | — |
Quality benchmarks
Gemma 4 E4B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench52.0%
Reasoning
MMLU-Pro69.4%
GPQA Diamond58.6%
MATH-500—
ARC Challenge—
Source: official · 2026-04-02
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights4.9 GB
KV Cache1.3 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Gemma 4 E4B
See also