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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/Gemma 3 12B

GoogleGoogle

Gemma 3 12B

Current
huggingfaceHuggingFaceollamaOllama
2.0MDownloads681LikesMar 2025Released131K tokensContextGemmaLicense4 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run gemma-3-12b
HuggingFace
huggingface-cli download gemma-3-12b

Quick specs

Parameters12B
Architecturedense
Context131K tokens
Modalitytext
Min RAM4.7 GB
Rec. RAM7.3 GB (Q4_K_M)
LicenseGemma
FamilyGemma
✓ Code✓ Chat

About this model

Gemma 3 12B is Google's mid-range Gemma 3 model with vision capabilities. Offers strong reasoning, code generation, and image understanding balanced with practical resource requirements.

Related models

Your hardware

Detecting...

Quick picks

Intel
Best budgetC
Intel Arc B580 12GB~$249 — 30 tok/s
NVIDIA
Best overallB
RTX 5080 16GB~$999 — 85 tok/s

Best hardware

Top picks for Gemma 3 12B

NVIDIA
RTX 5080 Laptop 16GBB
16 GB
NVIDIA
RTX 5080 16GBB
16 GB
NVIDIA
RTX 4080 Super 16GBB
16 GB
NVIDIA
RTX 5070 Ti 16GBB
16 GB
NVIDIA
RTX 4070 Ti Super 16GBB
16 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights7.3 GB
KV Cache1.9 GB
Runtime0.9 GB
Headroom2.4 GB