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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 2b/on RTX 4060 Ti 16GB

Can it run?

Can RTX 4060 Ti 16GB run gemma 2b?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

172.3 tok/s

TTFT

1123 ms

Safe context

53K

Memory

4.8 GB / 16.0 GB

Memory breakdown

Weights1.2 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well172.3 tok/s1634 ms106K
ChatCRuns well172.3 tok/s613 ms27K
CodingCRuns well172.3 tok/s1123 ms53K
RAGCRuns well172.3 tok/s2043 ms106K
ReasoningCRuns well172.3 tok/s1328 ms53K

Quantization options

How gemma 2b (2B params) fits at each quantization level on RTX 4060 Ti 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.8 GB
LowD31
Q3_K_S
3
1.0 GB
LowD31
NVFP4
4
1.1 GB
MediumD31
Q4_K_M
4
1.2 GB
MediumD31
Q5_K_M
5
1.4 GB
HighD31
Q6_K
6
1.6 GB
HighD32
Q8_0
8
2.1 GB
Very HighD32
F16Best for your GPU
16
4.1 GB
MaximumD35

Get started

Upgrade options

Hardware that runs gemma 2b well

AppleMacBook Pro M4 Pro 24GBBudget pick
C172.3 tok/s decode

~$1,999 MSRP

See all results for RTX 4060 Ti 16GBSee all hardware for gemma 2b