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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 4B/on GTX 1660 Super 6GB

Can it run?

Can GTX 1660 Super 6GB run Gemma 3 4B?

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

75.7 tok/s

TTFT

2556 ms

Safe context

19K

Memory

5.0 GB / 6.0 GB

Memory breakdown

Weights2.4 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCTight fit75.7 tok/s3718 ms35K
ChatCTight fit75.7 tok/s1394 ms10K
CodingCTight fit75.7 tok/s2556 ms19K
RAGCTight fit75.7 tok/s4648 ms35K
ReasoningCTight fit75.7 tok/s3021 ms19K

Quantization options

How Gemma 3 4B (4B params) fits at each quantization level on GTX 1660 Super 6GB (6.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.6 GB
LowD34
Q3_K_S
3
2.0 GB
LowD36
NVFP4
4
2.2 GB
MediumD36
Q4_K_M
4
2.4 GB
MediumD37
Q5_K_M
5
2.9 GB
HighD39
Q6_KBest for your GPU
6
3.3 GB
HighC40
Q8_0
8
4.3 GB
Very HighC43
F16
16
8.2 GB
MaximumF0

Get started

Ollama
ollama run gemma-3-4b
HuggingFace
huggingface-cli download gemma-3-4b

Upgrade options

Hardware that runs Gemma 3 4B well

AMDRX 7600 8GBBudget pick
C68.5 tok/s decode

~$269 MSRP

IntelIntel Arc A750 8GBBest value
C90.2 tok/s decode

~$289 MSRP

NVIDIARTX 2060 Super 8GBNVIDIA upgrade
B106.5 tok/s decode

~$399 MSRP

IntelIntel Arc A580 8GBBiggest leap
B102.8 tok/s decode

 

See all results for GTX 1660 Super 6GBSee all hardware for Gemma 3 4B