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Gemma 3 12B
Current
2.0MDownloads763LikesMar 2025Released131K tokensContextGemmaLicense70 StrongQuality
Gemma 3 12B (12B parameters) requires approximately 14.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 17 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Gemma 3 12B on your machine.
Run
ollama run gemma3:12bQuick specs
Parameters12B
Architecturedense
Context131K tokens
Modalitytext
Min RAM4.7 GB
Rec. RAM7.3 GB (Q4_K_M)
LicenseGemma
FamilyGemma
✓ Code✓ Chat
About this model
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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 | 4.7 GB | Low | — |
Q3_K_S | 3 | 5.9 GB | Low | — |
NVFP4 | 4 | 6.7 GB | Medium | — |
Q4_K_M | 4 | 7.3 GB | Medium | — |
Q5_K_M | 5 | 8.6 GB | High | — |
Q6_K | 6 | 9.8 GB | High | — |
Q8_0 | 8 | 12.8 GB | Very High | — |
F16 | 16 | 24.6 GB | Maximum | — |
Quality benchmarks
Gemma 3 12B benchmark scores
Coding
SWE-bench Verified—
HumanEval+85.4%
Aider Polyglot—
LiveCodeBench24.6%
Reasoning
MMLU-Pro60.6%
GPQA Diamond40.9%
MATH-50083.8%
ARC Challenge—
General
Chatbot Arena—
IFEval88.9%
Source: official · 2025-03-12
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights7.3 GB
KV Cache4.9 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Gemma 3 12B
See also