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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/Gemma 3 12B/on RTX 4080 Super 16GB

Can it run?

Can RTX 4080 Super 16GB run Gemma 3 12B?

BGood

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

83.5 tok/s

TTFT

2320 ms

Safe context

21K

Memory

12.0 GB / 16.0 GB

Memory breakdown

Weights7.3 GB
KV Cache1.9 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCTight fit83.5 tok/s3374 ms37K
ChatBRuns well83.5 tok/s1265 ms12K
CodingBRuns well83.5 tok/s2320 ms21K
RAGCTight fit83.5 tok/s4218 ms37K
ReasoningBRuns well83.5 tok/s2742 ms21K

Quantization options

How Gemma 3 12B (12B params) fits at each quantization level on RTX 4080 Super 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
4.7 GB
LowD35
Q3_K_S
3
5.9 GB
LowD37
NVFP4
4
6.7 GB
MediumD38
Q4_K_M
4
7.3 GB
MediumD39
Q5_K_M
5
8.6 GB
HighC40
Q6_KBest for your GPU
6
9.8 GB
HighC42
Q8_0
8
12.8 GB
Very HighC44
F16
16
24.6 GB
MaximumF0

Get started

Ollama
ollama run gemma-3-12b
HuggingFace
huggingface-cli download gemma-3-12b
See all results for RTX 4080 Super 16GBSee all hardware for Gemma 3 12B